Triple
T3908637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulacan |
E87267
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Baliuag
Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
|
E413563
|
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: Baliuag | Statement: [Bulacan, hasMunicipality, Baliuag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baliuag Context triple: [Bulacan, hasMunicipality, Baliuag]
-
A.
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.
-
B.
Sagay
Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
-
C.
Guihulngan
Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
-
D.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
E.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
- 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: Baliuag Triple: [Bulacan, hasMunicipality, Baliuag]
Generated description
Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baliuag Target entity description: Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
-
A.
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.
-
B.
Sagay
Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
-
C.
Guihulngan
Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
-
D.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
E.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b3d66ec819087616d434d594095 |
completed | March 14, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69b56f1a5e348190801c63c00b838f3c |
completed | March 14, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56f7f1f7881909c8003e4e498fac5 |
completed | March 14, 2026, 2:23 p.m. |
Created at: March 9, 2026, 3:22 p.m.