Triple

T16636400
Position Surface form Disambiguated ID Type / Status
Subject Conspicuous Gallantry Cross E404214 entity
Predicate postNominalLetters P1600 FINISHED
Object CGC E404214 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: CGC | Statement: [Conspicuous Gallantry Cross, postNominalLetters, CGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGC
Context triple: [Conspicuous Gallantry Cross, postNominalLetters, CGC]
  • A. CGC
    CGC is the national organization responsible for managing Canada's participation in the Commonwealth Games and promoting Commonwealth sport within the country.
  • B. CGC
    CGC is a major resource center that maintains and distributes Caenorhabditis elegans and related nematode strains for genetics and developmental biology research.
  • C. CGC chosen
    CGC is the post-nominal abbreviation for the Conspicuous Gallantry Cross, a high-level British military decoration awarded for exceptional bravery in combat.
  • D. CCG
    CCG is the railway station code for Churchgate, a major terminus on Mumbai’s suburban Western line.
  • E. TCG
    TCG (Tiny Code Generator) is QEMU’s built-in dynamic binary translation engine that emulates a target CPU by translating its instructions into host machine code in software.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378ea4b848190bf7c95dad8a855f0 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc28df48190b01c1328df24df60 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.