Triple
T4335024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabarzon |
E97442
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Cabuyao
Cabuyao is a rapidly developing industrial and residential city in the province of Laguna on the island of Luzon in the Philippines.
|
E432922
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cabuyao | Statement: [Calabarzon, hasCity, Cabuyao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabuyao Context triple: [Calabarzon, hasCity, Cabuyao]
-
A.
Mabalacat
Mabalacat is a city in the Philippine province of Pampanga known for hosting part of Clark Freeport and Special Economic Zone, a major commercial and aviation hub.
-
B.
Abucay
Abucay is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance dating back to the Spanish colonial period.
-
C.
Sipalay
Sipalay is a coastal city in Negros Occidental, Philippines, known for its beaches, diving spots, and laid-back tourism.
-
D.
Dumaguete
Dumaguete is a coastal university city in the central Philippines known for its laid-back atmosphere, vibrant academic community, and role as a gateway to nearby dive and nature destinations.
-
E.
Danao City
Danao City is a component city in the province of Cebu in the Philippines, known historically for its gun-making industry and as a growing commercial and industrial hub in the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cabuyao Triple: [Calabarzon, hasCity, Cabuyao]
Generated description
Cabuyao is a rapidly developing industrial and residential city in the province of Laguna on the island of Luzon in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabuyao Target entity description: Cabuyao is a rapidly developing industrial and residential city in the province of Laguna on the island of Luzon in the Philippines.
-
A.
Mabalacat
Mabalacat is a city in the Philippine province of Pampanga known for hosting part of Clark Freeport and Special Economic Zone, a major commercial and aviation hub.
-
B.
Abucay
Abucay is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance dating back to the Spanish colonial period.
-
C.
Sipalay
Sipalay is a coastal city in Negros Occidental, Philippines, known for its beaches, diving spots, and laid-back tourism.
-
D.
Dumaguete
Dumaguete is a coastal university city in the central Philippines known for its laid-back atmosphere, vibrant academic community, and role as a gateway to nearby dive and nature destinations.
-
E.
Danao City
Danao City is a component city in the province of Cebu in the Philippines, known historically for its gun-making industry and as a growing commercial and industrial hub in the region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db9c1a90819083d0889a65f04af2 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc7763488190b056ba759ac9fa73 |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd07854c8190ac55586d245028a6 |
completed | March 14, 2026, 10:11 p.m. |
Created at: March 12, 2026, 11:14 p.m.