Triple

T32535771
Position Surface form Disambiguated ID Type / Status
Subject Premier 5 tournaments E831583 entity
Predicate hadEventCode P174558 FINISHED
Object Premier 5
Premier 5 is a former category of high-tier women’s professional tennis tournaments on the WTA Tour, positioned just below the Premier Mandatory events in prestige and ranking points.
 E2010739 NE FINISHED

How this triple was built (3 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: Premier 5 | Statement: [Premier 5 tournaments, hadEventCode, Premier 5]
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: Premier 5
Triple: [Premier 5 tournaments, hadEventCode, Premier 5]
Generated description
Premier 5 is a former category of high-tier women’s professional tennis tournaments on the WTA Tour, positioned just below the Premier Mandatory events in prestige and ranking points.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadEventCode
Context triple: [Premier 5 tournaments, hadEventCode, Premier 5]
  • A. hadEvent
    Indicates that an entity experienced, hosted, or was associated with a specific event at some point in time.
  • B. hadListeningEventAt
    Indicates that a listening event involving an entity occurred at a specific time or place.
  • C. hasEventNumber
    Indicates that an entity is associated with a specific event identified by a unique number.
  • D. hasIneCode
    Indicates that an entity is associated with a specific INE (national statistics or education) code that identifies it in an official registry.
  • E. hasSideEvent
    Indicates that an event is associated with an additional, related side event occurring alongside it.
  • F. None of above. chosen

Provenance (7 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c57062c481908b041788842c5990 completed May 3, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347076694c8190a639957d285c3fff completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a3471350ec08190ae5394b2a8028840 completed June 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a3471ce69508190bbd47938ea429317 completed June 18, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 1:01 a.m.