Triple

T23034329
Position Surface form Disambiguated ID Type / Status
Subject TPC Network E573551 entity
Predicate hasPart P35 FINISHED
Object TPC Piper Glen
TPC Piper Glen is a private championship golf club in Charlotte, North Carolina, known for its Arnold Palmer–designed course and affiliation with the Tournament Players Club (TPC) network.
E1598235 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: TPC Piper Glen | Statement: [TPC Network, hasPart, TPC Piper Glen]
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: TPC Piper Glen
Triple: [TPC Network, hasPart, TPC Piper Glen]
Generated description
TPC Piper Glen is a private championship golf club in Charlotte, North Carolina, known for its Arnold Palmer–designed course and affiliation with the Tournament Players Club (TPC) network.

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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18483e5848190977b1bdb1b83d187 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f536a6b6c8190a772c7f732718644 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f5461406c8190a5cbf19b614ca745 completed May 21, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0f54e4e1d081908e4e42056ce1d23e completed May 21, 2026, 6:54 p.m.
Created at: April 17, 2026, 3:53 p.m.