Triple

T9436960
Position Surface form Disambiguated ID Type / Status
Subject Ermont E227534 entity
Predicate hasDemonym P191 FINISHED
Object Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
 E808249 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: Ermontoise | Statement: [Ermont, hasDemonym, Ermontoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ermontoise
Context triple: [Ermont, hasDemonym, Ermontoise]
  • A. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • B. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • C. Pommereuil
    Pommereuil is a small commune in the Nord department of northern France.
  • D. Hurepoix
    Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • E. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • 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: Ermontoise
Triple: [Ermont, hasDemonym, Ermontoise]
Generated description
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ermontoise
Target entity description: Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • A. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • B. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • C. Pommereuil
    Pommereuil is a small commune in the Nord department of northern France.
  • D. Hurepoix
    Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • E. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1611c908c8190aea6768e5659c3ca completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d161c432b08190ba848159cc26a00c completed April 4, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_69d162fc597081909a57f842e41b1ad4 completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 7:50 p.m.