Triple
T9745307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macajalar Bay |
E236290
|
entity |
| Predicate | hasCoastalMunicipality |
P41457
|
FINISHED |
| Object |
Balingoan
Balingoan is a coastal municipality in the Philippines known as a key ferry gateway to the island province of Camiguin.
|
E821987
|
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: Balingoan | Statement: [Macajalar Bay, hasCoastalMunicipality, Balingoan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balingoan Context triple: [Macajalar Bay, hasCoastalMunicipality, Balingoan]
-
A.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
-
B.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
-
C.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
-
D.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
E.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
- 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: Balingoan Triple: [Macajalar Bay, hasCoastalMunicipality, Balingoan]
Generated description
Balingoan is a coastal municipality in the Philippines known as a key ferry gateway to the island province of Camiguin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balingoan Target entity description: Balingoan is a coastal municipality in the Philippines known as a key ferry gateway to the island province of Camiguin.
-
A.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
-
B.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
-
C.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
-
D.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
E.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c40b0db081908b956484e3ff44c0 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c7bfda588190ae5432f4c20968c7 |
completed | April 5, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c811129481909c383caae1c5969b |
completed | April 5, 2026, 2:25 a.m. |
Created at: March 30, 2026, 8:23 p.m.