Triple

T764905
Position Surface form Disambiguated ID Type / Status
Subject Nice Côte d’Azur Airport E16153 entity
Predicate IATAcode P418 FINISHED
Object NCE
NCE is the three-letter IATA airport code for Nice Côte d’Azur Airport, the main international airport serving Nice and the French Riviera.
E90161 NE FINISHED

How this triple was built (4 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: NCE | Statement: [Nice Côte d’Azur Airport, IATAcode, NCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NCE
Context triple: [Nice Côte d’Azur Airport, IATAcode, NCE]
  • A. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • B. CNE
    CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
  • C. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • D. NCC
    NCC is an abbreviation commonly used for a Network Control Center, the facility responsible for monitoring and managing a communications or computer network’s operations.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NCE
Triple: [Nice Côte d’Azur Airport, IATAcode, NCE]
Generated description
NCE is the three-letter IATA airport code for Nice Côte d’Azur Airport, the main international airport serving Nice and the French Riviera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NCE
Target entity description: NCE is the three-letter IATA airport code for Nice Côte d’Azur Airport, the main international airport serving Nice and the French Riviera.
  • A. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • B. CNE
    CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
  • C. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • D. NCC
    NCC is an abbreviation commonly used for a Network Control Center, the facility responsible for monitoring and managing a communications or computer network’s operations.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • F. None of above. chosen

Provenance (5 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69dfeb08190b54a476cfa66e6d6 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e46d86c81908bc0ea469ccb091d completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65eeaa34481909b0deac860fbadfc completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f7b09b08190bf38f02a912b2276 completed March 3, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:37 p.m.