Triple

T15755200
Position Surface form Disambiguated ID Type / Status
Subject EH101-400 E381949 entity
Predicate airframeFamily P6094 FINISHED
Object EH101 E381949 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: EH101 | Statement: [EH101-400, airframeFamily, EH101]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EH101
Context triple: [EH101-400, airframeFamily, EH101]
  • A. EH10
    EH10 is a postcode district in Edinburgh, Scotland, covering areas such as Morningside and surrounding neighborhoods.
  • B. EH101-400 chosen
    The EH101-400 is a variant of the AW101 medium-lift, multi-role helicopter, tailored for specific mission and customer requirements.
  • C. EH12
    EH12 is a postcode district in the west of Edinburgh, Scotland, covering areas such as Corstorphine and its surroundings.
  • D. EHN1
    EHN1 is a large experimental hall in CERN’s North Area used for fixed-target and test-beam particle physics experiments served by the Super Proton Synchrotron.
  • E. H10
    H10 is the shorthand name for Hilbert’s tenth problem, a famous decision problem in number theory concerning the solvability of Diophantine equations.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87714a8481909f8489c73ac89c11 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.