Triple

T12856616
Position Surface form Disambiguated ID Type / Status
Subject Operation Windsor E307471 entity
Predicate location P40 FINISHED
Object Carpiquet E640649 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: Carpiquet | Statement: [Operation Windsor, location, Carpiquet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carpiquet
Context triple: [Operation Windsor, location, Carpiquet]
  • A. Carpiquet chosen
    Carpiquet is a commune in the Calvados department of northwestern France, known in part for its nearby Caen–Carpiquet Airport and its role in World War II.
  • B. Loris Twin City Airport
    Loris Twin City Airport is a small public-use airport serving the city of Loris and surrounding areas in Horry County, South Carolina.
  • C. Charlevoix Municipal Airport
    Charlevoix Municipal Airport is a public airport serving the Charlevoix, Michigan area, providing general aviation services and regional air connectivity.
  • D. Amiens–Glisy Aerodrome
    Amiens–Glisy Aerodrome is a regional civil airport serving the city of Amiens in northern France.
  • E. Gillot Airport
    Gillot Airport is the former name of Roland Garros Airport, the main international airport serving Réunion Island in the Indian Ocean.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970231ce48190a4eabc4b8c24a3ff completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba9a53c81908e9ed120f6cb94af completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.