Triple

T36298064
Position Surface form Disambiguated ID Type / Status
Subject Sangguniang Panlungsod ng Bacoor E893423 entity
Predicate partOf P40 FINISHED
Object Local Government of Bacoor
The Local Government of Bacoor is the city-level governing body responsible for administering public services, development programs, and local legislation in Bacoor, Cavite, Philippines.
E893423 NE FINISHED

How this triple was built (2 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: Local Government of Bacoor | Statement: [Sangguniang Panlungsod ng Bacoor, partOf, Local Government of Bacoor]
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: Local Government of Bacoor
Triple: [Sangguniang Panlungsod ng Bacoor, partOf, Local Government of Bacoor]
Generated description
The Local Government of Bacoor is the city-level governing body responsible for administering public services, development programs, and local legislation in Bacoor, Cavite, Philippines.

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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba0121ac8190baf59381692a264a completed May 3, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d7de46c8190bd4666a0586f9481 completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a397eb358e081908979542ee1da30d4 completed June 22, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_6a397f8e6c948190840bc5786c6ad123 completed June 22, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:09 p.m.