Triple

T9749316
Position Surface form Disambiguated ID Type / Status
Subject Châteauroux-Centre "Marcel Dassault" Airport E236398 entity
Predicate locatedIn P40 FINISHED
Object Déols
Déols is a commune in central France’s Indre department, situated just north of Châteauroux and known for hosting the regional Châteauroux-Centre "Marcel Dassault" Airport.
E819036 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: Déols | Statement: [Châteauroux-Centre "Marcel Dassault" Airport, locatedIn, Déols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Déols
Context triple: [Châteauroux-Centre "Marcel Dassault" Airport, locatedIn, Déols]
  • A. Deilginis
    Deilginis is the Irish-language name for the coastal town and island of Dalkey in County Dublin, Ireland.
  • B. Daluege
    Daluege is the surname of Kurt Daluege, a high-ranking Nazi SS and police official who played a major role in the repression and atrocities of the Third Reich.
  • C. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • D. Yolöten
    Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
  • E. Melaskóli
    Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
  • 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: Déols
Triple: [Châteauroux-Centre "Marcel Dassault" Airport, locatedIn, Déols]
Generated description
Déols is a commune in central France’s Indre department, situated just north of Châteauroux and known for hosting the regional Châteauroux-Centre "Marcel Dassault" Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Déols
Target entity description: Déols is a commune in central France’s Indre department, situated just north of Châteauroux and known for hosting the regional Châteauroux-Centre "Marcel Dassault" Airport.
  • A. Deilginis
    Deilginis is the Irish-language name for the coastal town and island of Dalkey in County Dublin, Ireland.
  • B. Daluege
    Daluege is the surname of Kurt Daluege, a high-ranking Nazi SS and police official who played a major role in the repression and atrocities of the Third Reich.
  • C. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • D. Yolöten
    Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
  • E. Melaskóli
    Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f6a2f8c8190a6f6af6587ee90b8 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b01678f88190900a941b9d111c58 completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b13a7b0c8190a526bffdc4caf73d completed April 5, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1cdc91481908e98c4d5cdec785b completed April 5, 2026, 12:50 a.m.
Created at: March 30, 2026, 8:23 p.m.