Triple

T9490017
Position Surface form Disambiguated ID Type / Status
Subject Issawiya neighborhood E228860 entity
Predicate roadAccessFrom P22549 FINISHED
Object French Hill E115704 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: French Hill | Statement: [Issawiya neighborhood, roadAccessFrom, French Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Hill
Context triple: [Issawiya neighborhood, roadAccessFrom, French Hill]
  • A. French Hill chosen
    French Hill is a residential neighborhood in northern Jerusalem known for its mixed population, proximity to major universities, and strategic location overlooking key routes into the city.
  • B. North Hill
    North Hill is one of the prominent hills in the Malvern Hills range in England, known for its scenic views and popular walking paths.
  • C. North Hill
    North Hill is a residential neighborhood and historic district within the city of New Castle, Pennsylvania.
  • D. Brewster Hill
    Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
  • E. Nodine Hill
    Nodine Hill is a residential neighborhood in the city of Yonkers, New York, known for its hilly terrain and diverse community.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c6f6bc8190aa09422508bd5d23 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d202b748190b78e4e972b1ce08d completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.