Triple

T16875876
Position Surface form Disambiguated ID Type / Status
Subject Le Boucher E421296 entity
Predicate filmingLocation P40 FINISHED
Object Trémolat
Trémolat is a small picturesque village in southwestern France’s Dordogne region, known for its scenic setting along the Dordogne River and traditional rural charm.
 E1237878 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: Trémolat | Statement: [Le Boucher, filmingLocation, Trémolat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trémolat
Context triple: [Le Boucher, filmingLocation, Trémolat]
  • A. Trembleur
    Trembleur is a village in the municipality of Blegny in the province of Liège, Belgium.
  • B. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • C. Teigne
    Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
  • D. Boulingrin
    Boulingrin is a central area in Rouen, France, known for serving as a key terminus of the city’s tramway network.
  • E. Tournelle
    Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
  • 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: Trémolat
Triple: [Le Boucher, filmingLocation, Trémolat]
Generated description
Trémolat is a small picturesque village in southwestern France’s Dordogne region, known for its scenic setting along the Dordogne River and traditional rural charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trémolat
Target entity description: Trémolat is a small picturesque village in southwestern France’s Dordogne region, known for its scenic setting along the Dordogne River and traditional rural charm.
  • A. Trembleur
    Trembleur is a village in the municipality of Blegny in the province of Liège, Belgium.
  • B. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • C. Teigne
    Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
  • D. Boulingrin
    Boulingrin is a central area in Rouen, France, known for serving as a key terminus of the city’s tramway network.
  • E. Tournelle
    Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:29 a.m.