Triple

T10090824
Position Surface form Disambiguated ID Type / Status
Subject Thurston Hall E215338 entity
Predicate familyName P18 FINISHED
Object Hall E141105 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: Hall | Statement: [Thurston Hall, familyName, Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hall
Context triple: [Thurston Hall, familyName, Hall]
  • A. Hall
    Hall is a small rural village and outer suburb of Canberra in the Australian Capital Territory, known for its historic character and village atmosphere.
  • B. Hall chosen
    Hall is a common English surname borne by numerous notable individuals across diverse fields such as science, arts, and public life.
  • C. Hall 2
    Hall 2 is one of the main concourse areas within Paris’s Gare de Lyon railway station, serving passengers with platforms, services, and amenities.
  • D. Hall A
    Hall A is one of the large underground experimental caverns at Italy’s Gran Sasso National Laboratory, used primarily for cutting-edge particle and astroparticle physics experiments.
  • E. Hall A
    Hall A is one of the primary experimental halls at the Continuous Electron Beam Accelerator Facility (CEBAF), used for high-precision nuclear and particle physics experiments with electron beams.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.