Triple

T694332
Position Surface form Disambiguated ID Type / Status
Subject Antoine de la Mothe Cadillac E13862 entity
Predicate deathPlace P21 FINISHED
Object Castelsarrasin
Castelsarrasin is a commune in the Tarn-et-Garonne department in southern France, known as a historic town on the banks of the Garonne River.
E90795 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: Castelsarrasin | Statement: [Antoine de la Mothe Cadillac, deathPlace, Castelsarrasin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelsarrasin
Context triple: [Antoine de la Mothe Cadillac, deathPlace, Castelsarrasin]
  • A. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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: Castelsarrasin
Triple: [Antoine de la Mothe Cadillac, deathPlace, Castelsarrasin]
Generated description
Castelsarrasin is a commune in the Tarn-et-Garonne department in southern France, known as a historic town on the banks of the Garonne River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Castelsarrasin
Target entity description: Castelsarrasin is a commune in the Tarn-et-Garonne department in southern France, known as a historic town on the banks of the Garonne River.
  • A. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c3f39c8190a3014df428817492 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666acf1081908325ae2ba74b6bae completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a6674809a48190b30a03a6366bdebd completed March 3, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69a667cf4f9881908d63b5e38088c0f9 completed March 3, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:36 p.m.