Triple

T9784463
Position Surface form Disambiguated ID Type / Status
Subject Hall family E237457 entity
Predicate hasLastName 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: [Hall family, hasLastName, Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hall
Context triple: [Hall family, hasLastName, 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41fc5508190a759cdda8416673a completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.