Triple

T28111152
Position Surface form Disambiguated ID Type / Status
Subject MMDA E710490 entity
Predicate governingBody P46 FINISHED
Object Metro Manila Council
The Metro Manila Council is the policy-making and governing body composed of the mayors and key officials of Metro Manila’s local government units that sets region-wide regulations and directives for the metropolis.
E188580 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: Metro Manila Council | Statement: [MMDA, governingBody, Metro Manila Council]
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: Metro Manila Council
Triple: [MMDA, governingBody, Metro Manila Council]
Generated description
The Metro Manila Council is the policy-making and governing body composed of the mayors and key officials of Metro Manila’s local government units that sets region-wide regulations and directives for the metropolis.

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_69ef9b71fdb081908b4a61cd7ff147c1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640c821008190aac1084eb4d4c4e4 completed May 2, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d798a2fc8190b0c0acbd73dda011 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15d8c5ef148190a26087a3271a39d7 completed May 26, 2026, 5:30 p.m.
NED2 Entity disambiguation (via description) batch_6a15dc34943c81909cd8920ef1288f69 completed May 26, 2026, 5:45 p.m.
Created at: April 27, 2026, 9:11 p.m.