Triple

T34920053
Position Surface form Disambiguated ID Type / Status
Subject Municipal Government of Nueva Valencia E1007111 entity
Predicate governs P760 FINISHED
Object Municipality of Nueva Valencia
The Municipality of Nueva Valencia is a local government unit in the Philippines known for its coastal communities and administrative jurisdiction over several barangays.
E2117695 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: Municipality of Nueva Valencia | Statement: [Municipal Government of Nueva Valencia, governs, Municipality of Nueva Valencia]
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: Municipality of Nueva Valencia
Triple: [Municipal Government of Nueva Valencia, governs, Municipality of Nueva Valencia]
Generated description
The Municipality of Nueva Valencia is a local government unit in the Philippines known for its coastal communities and administrative jurisdiction over several barangays.

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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78217b9e48190b9d324f3cda6064f completed May 3, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f6638481909e3720dc8e16be71 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378abf1b0481909040f688fadcf447 completed June 21, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a378bc690f08190970e7b189ff9627c completed June 21, 2026, 6:59 a.m.
Created at: May 3, 2026, 4 p.m.