Triple

T16812413
Position Surface form Disambiguated ID Type / Status
Subject Grainger Town E408646 entity
Predicate knownFor P22 FINISHED
Object Grey Street E151932 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: Grey Street | Statement: [Grainger Town, knownFor, Grey Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grey Street
Context triple: [Grainger Town, knownFor, Grey Street]
  • A. Grey Street chosen
    Grey Street is a renowned historic thoroughfare in Newcastle upon Tyne, celebrated for its elegant Georgian architecture and cultural significance.
  • B. Himmel Street
    Himmel Street is the fictional working-class German street in the town of Molching where much of Markus Zusak’s novel "The Book Thief" takes place.
  • C. Love Street
    Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
  • D. Fall Street
    Fall Street is a central thoroughfare in Seneca Falls, New York, known for its historic architecture and role as a focal point of the Seneca Falls Village Historic District.
  • E. Green Street
    Green Street is a 2005 British-American drama film about football hooliganism, starring Elijah Wood as an American who becomes involved with a violent West Ham United firm.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2df5c888190a462614e1432c357 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.