Triple

T4984843
Position Surface form Disambiguated ID Type / Status
Subject Valerian Street E111974 entity
Predicate conflictWith P4897 FINISHED
Object Margaret Street E848798 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: Margaret Street | Statement: [Valerian Street, conflictWith, Margaret Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Street
Context triple: [Valerian Street, conflictWith, Margaret Street]
  • A. Margaret Street
    Margaret Street is a fictional character from Toni Morrison’s novel "Tar Baby," representing complex themes of race, identity, and cultural dislocation.
  • B. Margaret Street chosen
    Margaret Street is an individual known primarily as the spouse of Valerian Street.
  • C. Gerrard Street
    Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
  • D. St Margaret Street
    St Margaret Street is a central London road in the City of Westminster, running alongside the Palace of Westminster and Westminster Abbey at the heart of the UK’s parliamentary district.
  • E. Oriel Street
    Oriel Street is a historic street in central Oxford, England, closely associated with Oriel College and the university area.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725766d88190b6fda860a005ce4e completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4e916805881908496459dad525b8c completed April 7, 2026, 11:23 a.m.
Created at: March 20, 2026, 1:33 p.m.