Triple

T16213451
Position Surface form Disambiguated ID Type / Status
Subject Hayange E393522 entity
Predicate hasDemonym P191 FINISHED
Object Hayangeois
Hayangeois refers to the inhabitants or natives of Hayange, a town in the Moselle department of northeastern France.
 E1201121 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: Hayangeois | Statement: [Hayange, hasDemonym, Hayangeois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hayangeois
Context triple: [Hayange, hasDemonym, Hayangeois]
  • A. Esblygeois
    Esblygeois are the inhabitants or natives of the commune of Esbly in the Île-de-France region of France.
  • B. Raverdinois
    Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
  • C. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • D. Creillois
    Creillois is the French term for inhabitants of the town of Creil in northern France.
  • E. Morisyen
    Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
  • 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: Hayangeois
Triple: [Hayange, hasDemonym, Hayangeois]
Generated description
Hayangeois refers to the inhabitants or natives of Hayange, a town in the Moselle department of northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hayangeois
Target entity description: Hayangeois refers to the inhabitants or natives of Hayange, a town in the Moselle department of northeastern France.
  • A. Esblygeois
    Esblygeois are the inhabitants or natives of the commune of Esbly in the Île-de-France region of France.
  • B. Raverdinois
    Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
  • C. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • D. Creillois
    Creillois is the French term for inhabitants of the town of Creil in northern France.
  • E. Morisyen
    Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f2c1288190bfaed49c364bfa22 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007932f088190b6c20913cfb932f4 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0009d6e7288190907075f5ee72f3ad completed May 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a000ad7a72481909a74643d8c0c9b5a completed May 10, 2026, 4:34 a.m.
Created at: April 10, 2026, 5:03 a.m.