Triple

T4439613
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 (Nice Côte d’Azur Airport) E95737 entity
Predicate locatedIn P40 FINISHED
Object Nice E2387 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: Nice | Statement: [Terminal 1 (Nice Côte d’Azur Airport), locatedIn, Nice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice
Context triple: [Terminal 1 (Nice Côte d’Azur Airport), locatedIn, Nice]
  • A. Nice chosen
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • C. Nice Agreement
    The Nice Agreement is an international treaty that establishes a standardized classification system of goods and services used for the registration of trademarks.
  • D. FRIENDLY
    FRIENDLY is the airline callsign used by Southern Airways Express, a U.S.-based commuter and regional airline.
  • E. KIND
    KIND is the ICAO airport code for Indianapolis International Airport, a major commercial airport serving Indianapolis, Indiana, in the United States.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355aaa9288190b95d875d343d6ee5 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137b97748190b8ebecaf590baad3 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.