Triple

T8334409
Position Surface form Disambiguated ID Type / Status
Subject First Hill E195151 entity
Predicate hasNickname P39 FINISHED
Object Pill Hill E326762 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: Pill Hill | Statement: [First Hill, hasNickname, Pill Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pill Hill
Context triple: [First Hill, hasNickname, Pill Hill]
  • A. Pill Hill chosen
    Pill Hill is a prominent medical district in Portland, Oregon, known for its concentration of major hospitals, clinics, and health science facilities.
  • B. Harpur Square
    Harpur Square is a central public square and shopping area in the town of Bedford, England.
  • C. Quarry Hill
    Quarry Hill is an area in central Leeds, England, known for its cultural institutions and urban redevelopment.
  • D. Clifton Hill
    Clifton Hill is a popular entertainment and tourist district in Niagara Falls, Ontario, known for its attractions, restaurants, and vibrant nightlife near the falls.
  • E. Clifton Hill
    Clifton Hill is a suburban railway station in Melbourne, Australia, serving the inner-northern suburb of Clifton Hill on the city's metropolitan rail network.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fbe61f481909cde8ab2c42f89fc completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95d19178819090815692e847c4e0 completed April 1, 2026, 10:01 p.m.
Created at: March 30, 2026, 5:57 p.m.