Triple
T15228858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ternate |
E363945
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
San Jose
San Jose is a barangay (village-level administrative division) of the municipality of Ternate in the province of Cavite, Philippines.
|
E1173200
|
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: San Jose | Statement: [Ternate, hasBarangay, San Jose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Jose Context triple: [Ternate, hasBarangay, San Jose]
-
A.
San Jose
San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
-
B.
San Jose
San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
-
C.
San Jose
San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
-
D.
San Jose
San Jose is a municipality in the province of Tarlac in the Central Luzon region of the Philippines, known for its predominantly agricultural economy.
-
E.
San Jose
San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
- 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: San Jose Triple: [Ternate, hasBarangay, San Jose]
Generated description
San Jose is a barangay (village-level administrative division) of the municipality of Ternate in the province of Cavite, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Jose Target entity description: San Jose is a barangay (village-level administrative division) of the municipality of Ternate in the province of Cavite, Philippines.
-
A.
San Jose
San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
-
B.
San Jose
San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
-
C.
San Jose
San Jose is a barangay (village-level administrative division) within the municipality of Dumalag in the Philippines.
-
D.
San Jose
San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
-
E.
San Jose
San Jose is a coastal municipality in the Philippine province of Romblon known for its island landscapes and fishing communities.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078ccdf48190b34eabd9e24e45a1 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dcec0c8190a5e4ac0aafd34504 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83593f9c8190a5eccb8cde49345c |
completed | May 9, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff83bbdfa48190b992210f8d38f3fb |
completed | May 9, 2026, 6:58 p.m. |
Created at: April 10, 2026, 3:12 a.m.