Triple

T19062813
Position Surface form Disambiguated ID Type / Status
Subject Tower ward E466577 entity
Predicate contains P35 FINISHED
Object Cooper's Row NE NERFINISHED

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: Cooper's Row | Statement: [Tower ward, contains, Cooper's Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cooper's Row
Context triple: [Tower ward, contains, Cooper's Row]
  • A. Cooper's Row chosen
    Cooper's Row is a street in the City of London located near Fenchurch Street railway station and close to the historic Tower of London.
  • B. Merchants Row
    Merchants Row is a historic commercial street and notable shopping and business district in downtown Rutland, Vermont.
  • C. Spooner Row
    Spooner Row is a small village in Norfolk, England, known for its rural setting and railway station on the route between Norwich and Ely.
  • D. Museum Row
    Museum Row is a prominent stretch of cultural institutions and museums in Los Angeles, known for its dense concentration of major art, history, and science museums.
  • E. Saratoga Passage
    Saratoga Passage is a marine waterway in Puget Sound, Washington, separating Whidbey Island from Camano Island and connecting to larger channels of the sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e195ac048190a57b57e585d022d4 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.