Triple

T35741608
Position Surface form Disambiguated ID Type / Status
Subject Hinoki Village E1033048 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Chiayi City historical sites
Chiayi City historical sites are a collection of culturally and architecturally significant landmarks in Chiayi City, Taiwan, reflecting its rich history and heritage.
E2153078 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: Chiayi City historical sites | Statement: [Hinoki Village, hasNearbyAttraction, Chiayi City historical sites]
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: Chiayi City historical sites
Triple: [Hinoki Village, hasNearbyAttraction, Chiayi City historical sites]
Generated description
Chiayi City historical sites are a collection of culturally and architecturally significant landmarks in Chiayi City, Taiwan, reflecting its rich history and heritage.

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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a16abef881908f08db84ba7b977b completed May 3, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d25e5608190bf98b289378e9c83 completed June 22, 2026, 12:09 a.m.
NEDg Description generation batch_6a387e1df2a48190a3c6e1a308b7021f completed June 22, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_6a387ef2719c8190ac32e6b09d0d9343 completed June 22, 2026, 12:16 a.m.
Created at: May 3, 2026, 4:06 p.m.