Triple

T11501531
Position Surface form Disambiguated ID Type / Status
Subject CORF E272674 entity
Predicate shortName P43 FINISHED
Object CORF E272674 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: CORF | Statement: [CORF, shortName, CORF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CORF
Context triple: [CORF, shortName, CORF]
  • A. CORF chosen
    CORF is the French military commission responsible for planning and overseeing the construction of fortified regions, notably including major works of the Maginot Line.
  • B. CoR
    CoR is the commonly used abbreviation for the European Committee of the Regions, the EU’s advisory body representing local and regional authorities.
  • C. COUR
    COUR is the stock ticker symbol for Coursera, a major online learning platform offering courses, certificates, and degrees from universities and companies worldwide.
  • D. CJO
    CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
  • E. CRF
    CRF is a military acronym most notably used for Japan’s former Central Readiness Force, a rapid-deployment command within the Japan Ground Self-Defense Force.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.