Triple

T35796155
Position Surface form Disambiguated ID Type / Status
Subject West District, Chiayi City E1034836 entity
Predicate contains P35 FINISHED
Object Chiayi Municipal Baseball Stadium
Chiayi Municipal Baseball Stadium is a prominent baseball venue in Chiayi City, Taiwan, used for professional and local baseball games and events.
E2157174 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 Municipal Baseball Stadium | Statement: [West District, Chiayi City, contains, Chiayi Municipal Baseball Stadium]
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 Municipal Baseball Stadium
Triple: [West District, Chiayi City, contains, Chiayi Municipal Baseball Stadium]
Generated description
Chiayi Municipal Baseball Stadium is a prominent baseball venue in Chiayi City, Taiwan, used for professional and local baseball games and events.

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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a25541c081909a2c3780af82c516 completed May 3, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389165fec88190ab74ba0aa4017452 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a38955480788190a35c801f1c14cd43 completed June 22, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_6a3895b758fc8190b1850f88c7fe0e87 completed June 22, 2026, 1:53 a.m.
Created at: May 3, 2026, 4:06 p.m.