Triple

T38116117
Position Surface form Disambiguated ID Type / Status
Subject Manuka Oval E951792 entity
Predicate firstODIMatch P207607 FINISHED
Object 1992 Cricket World Cup E146659 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: 1992 Cricket World Cup | Statement: [Manuka Oval, firstODIMatch, 1992 Cricket World Cup]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstODIMatch
Context triple: [Manuka Oval, firstODIMatch, 1992 Cricket World Cup]
  • A. firstODIMatchYear
    Indicates the year in which an entity (typically a player or team) participated in its first One Day International (ODI) cricket match.
  • B. firstODIMatchTeams
    Indicates that the related entities are the teams that played in the first One Day International (ODI) match between them.
  • C. firstODILocation
    Indicates the location where an entity’s first On-Die Interconnect (ODI) instance or event occurs.
  • D. firstFirstClassMatch
    Indicates that the referenced match is the earliest (chronologically first) match classified as a first-class match for the given context or entity.
  • E. firstMatchCity
    Indicates that the referenced city is the first one that matches a given set of criteria or search conditions among multiple possible cities.
  • F. None of above. chosen

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_69f76f07734c8190814e937e12257a78 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41681db73c8190ace03f0247098f1f completed June 28, 2026, 6:29 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037df009f4819082e04683e6e8a106 completed May 12, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:21 p.m.