Triple

T34392180
Position Surface form Disambiguated ID Type / Status
Subject Katy Heritage Park E882732 entity
Predicate operatedBy P86 FINISHED
Object Katy Heritage Society
The Katy Heritage Society is a local nonprofit organization dedicated to preserving and promoting the historical and cultural heritage of Katy, Texas.
E882732 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: Katy Heritage Society | Statement: [Katy Heritage Park, operatedBy, Katy Heritage Society]
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: Katy Heritage Society
Triple: [Katy Heritage Park, operatedBy, Katy Heritage Society]
Generated description
The Katy Heritage Society is a local nonprofit organization dedicated to preserving and promoting the historical and cultural heritage of Katy, Texas.

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_69f349c1304081909331872829e38106 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71892692c81908c2390b701433b55 completed May 3, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a370dc030808190b61a5fb83be9396c completed June 20, 2026, 10:01 p.m.
NEDg Description generation batch_6a370e995d04819093fe5032b18243ad completed June 20, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_6a370f63e1d08190a3e588bc7b2fa789 completed June 20, 2026, 10:08 p.m.
Created at: May 1, 2026, 1:59 a.m.