Triple

T23627510
Position Surface form Disambiguated ID Type / Status
Subject Momoyama area E583506 entity
Predicate governedBy P46 FINISHED
Object Fushimi Ward Office
Fushimi Ward Office is the local government administrative center responsible for providing public services and municipal governance for Kyoto’s Fushimi Ward, including the Momoyama area.
E1592772 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: Fushimi Ward Office | Statement: [Momoyama area, governedBy, Fushimi Ward Office]
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: Fushimi Ward Office
Triple: [Momoyama area, governedBy, Fushimi Ward Office]
Generated description
Fushimi Ward Office is the local government administrative center responsible for providing public services and municipal governance for Kyoto’s Fushimi Ward, including the Momoyama area.

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_69e248fc8d74819091bd5baef2f36f6f completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e4df248190ac38e4e025bd1140 completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f459c69388190b65c4c2a456fd5f7 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46b69d288190b3fb6dcea9fb44b5 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f476e8eb88190a895453552c92b9a completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:46 p.m.