Triple

T9852584
Position Surface form Disambiguated ID Type / Status
Subject Ouvrage Hackenberg E239503 entity
Predicate designedBy P184 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: [Ouvrage Hackenberg, designedBy, CORF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CORF
Context triple: [Ouvrage Hackenberg, designedBy, 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.