Triple

T34165089
Position Surface form Disambiguated ID Type / Status
Subject City Government of Roxas E876387 entity
Predicate hasBranch P35 FINISHED
Object City Administrator’s Office of Roxas
The City Administrator’s Office of Roxas is a local government department responsible for overseeing day-to-day administrative operations and implementing the policies and programs of the City Government of Roxas.
E2085148 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: City Administrator’s Office of Roxas | Statement: [City Government of Roxas, hasBranch, City Administrator’s Office of Roxas]
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: City Administrator’s Office of Roxas
Triple: [City Government of Roxas, hasBranch, City Administrator’s Office of Roxas]
Generated description
The City Administrator’s Office of Roxas is a local government department responsible for overseeing day-to-day administrative operations and implementing the policies and programs of the City Government of Roxas.

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_69f349ac987481908a8e6053f665bc8b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70fdedf708190ab68c2d567e086d0 completed May 3, 2026, 9:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36cc786aa48190a26778d276a34fcd completed June 20, 2026, 5:23 p.m.
NEDg Description generation batch_6a36cd0239908190bd16360a88d43607 completed June 20, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_6a36cd74cf1c8190bfdb1ad2b77726fb completed June 20, 2026, 5:27 p.m.
Created at: May 1, 2026, 1:54 a.m.