Triple

T24021095
Position Surface form Disambiguated ID Type / Status
Subject BMW PGA Championship E594822 entity
Predicate previousName P65 FINISHED
Object Penfold PGA Championship
The Penfold PGA Championship was a prominent professional golf tournament on the European circuit, later known as the BMW PGA Championship.
E1614640 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: Penfold PGA Championship | Statement: [BMW PGA Championship, previousName, Penfold PGA Championship]
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: Penfold PGA Championship
Triple: [BMW PGA Championship, previousName, Penfold PGA Championship]
Generated description
The Penfold PGA Championship was a prominent professional golf tournament on the European circuit, later known as the BMW PGA Championship.

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_69e288be2c288190a3a46006945557f7 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5aaf8588190b266557d573504b8 completed April 29, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7ea5d23c8190b911c1c063668bdf completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f4e4b9081909cf4a5a60f4da17f completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f80468e208190813d392e9e478151 completed May 21, 2026, 9:59 p.m.
Created at: April 17, 2026, 9:43 p.m.