Triple

T8837126
Position Surface form Disambiguated ID Type / Status
Subject La Marche E210292 entity
Predicate hasMajorTown P316 FINISHED
Object Le Dorat
Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
 E761545 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: Le Dorat | Statement: [La Marche, hasMajorTown, Le Dorat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Dorat
Context triple: [La Marche, hasMajorTown, Le Dorat]
  • A. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • B. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • C. La Turbie
    La Turbie is a historic hilltop village on the French Riviera, best known for its ancient Roman Trophy of Augustus and panoramic views over Monaco and the Mediterranean.
  • D. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • E. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • 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: Le Dorat
Triple: [La Marche, hasMajorTown, Le Dorat]
Generated description
Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Dorat
Target entity description: Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
  • A. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • B. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • C. La Turbie
    La Turbie is a historic hilltop village on the French Riviera, best known for its ancient Roman Trophy of Augustus and panoramic views over Monaco and the Mediterranean.
  • D. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • E. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898a478c81908f138a78f331b87d completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8d66cb5081908efaa1d96829ebe8 completed April 3, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69cf8defb0508190b2341ba8e79da2af completed April 3, 2026, 9:52 a.m.
Created at: March 30, 2026, 6:48 p.m.