Triple

T6614870
Position Surface form Disambiguated ID Type / Status
Subject Jordan Henderson E149324 entity
Predicate placeOfBirth P1 FINISHED
Object Sunderland, England E52568 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: Sunderland, England | Statement: [Jordan Henderson, placeOfBirth, Sunderland, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunderland, England
Context triple: [Jordan Henderson, placeOfBirth, Sunderland, England]
  • A. Sunderland, United Kingdom
    Sunderland, United Kingdom is an industrial port city in North East England known for its automotive manufacturing and shipbuilding heritage.
  • B. Sunderland chosen
    Sunderland is a coastal city in Tyne and Wear, North East England, historically known for its shipbuilding and coal-mining industries and now a center for services, education, and automotive manufacturing.
  • C. Washington, Tyne and Wear
    Washington, Tyne and Wear is a town in North East England that forms part of the City of Sunderland and is historically associated with the ancestors of U.S. President George Washington.
  • D. Durham, England
    Durham, England is a historic cathedral city in northeast England known for its Norman architecture, including Durham Cathedral and Castle, and as a prominent university center.
  • E. Hebburn-on-Tyne, England
    Hebburn-on-Tyne, England is an industrial town on the River Tyne historically known for its shipbuilding and marine engineering industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af569ecc8190a9526decc745f0a0 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbda469481908173db345ba2f216 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:57 p.m.