Triple

T23955132
Position Surface form Disambiguated ID Type / Status
Subject Columbus RedStixx E603766 entity
Predicate homeVenueLocation P19090 FINISHED
Object Golden Park, Columbus, Georgia
Golden Park in Columbus, Georgia is a historic minor league baseball stadium best known for hosting local professional and collegiate baseball teams and events.
E1611011 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: Golden Park, Columbus, Georgia | Statement: [Columbus RedStixx, homeVenueLocation, Golden Park, Columbus, Georgia]
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: Golden Park, Columbus, Georgia
Triple: [Columbus RedStixx, homeVenueLocation, Golden Park, Columbus, Georgia]
Generated description
Golden Park in Columbus, Georgia is a historic minor league baseball stadium best known for hosting local professional and collegiate baseball teams 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_69e2954222288190a7323554d0cca8d7 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d0d616ec81908c796894f40f3015 completed April 29, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f765706a88190aa919760a5536905 completed May 21, 2026, 9:17 p.m.
NEDg Description generation batch_6a0f76f2b5248190b92095f8003001be completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78df8c9c81908eb3912b212862f9 completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 9:21 p.m.