Triple

T5025075
Position Surface form Disambiguated ID Type / Status
Subject Esplanade de La Défense E112954 entity
Predicate feature P374 FINISHED
Object CNIT E236672 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: CNIT | Statement: [Esplanade de La Défense, feature, CNIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNIT
Context triple: [Esplanade de La Défense, feature, CNIT]
  • A. CNIT chosen
    CNIT is a prominent modernist convention and exhibition center in the La Défense business district near Paris, known for its distinctive vaulted concrete architecture.
  • B. CNI
    CNI is the stock ticker symbol for Canadian National Railway, a major North American freight railway company listed on the New York Stock Exchange and Toronto Stock Exchange.
  • C. NIC
    NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
  • D. NIC
    NIC is the commonly used abbreviation for the United Kingdom’s National Infrastructure Commission, an independent body that advises the government on long-term infrastructure strategy and investment.
  • E. NIC
    NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736a0f8c819091d06275954329e9 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be928919c08190be76549e1a41f61e completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.