Triple

T18391776
Position Surface form Disambiguated ID Type / Status
Subject TR-42 E449746 entity
Predicate codeStructure P2555 FINISHED
Object TR-42 NE NERFINISHED

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: TR-42 | Statement: [TR-42, codeStructure, TR-42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TR-42
Context triple: [TR-42, codeStructure, TR-42]
  • A. TR-42 chosen
    TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
  • B. TR-25
    TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
  • C. TR-36
    TR-36 is the ISO 3166-2 subdivision code assigned to Turkey’s Kars Province.
  • D. TR4
    TR4 is a high-end desktop CPU socket designed by AMD for its Ryzen Threadripper processors, supporting large core counts and quad-channel memory.
  • E. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518435cf481908393c1eb2b4ba659 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.