Triple

T16445922
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Castelsarrasin E399424 entity
Predicate contains P35 FINISHED
Object Boudou
Boudou is a small commune in the Tarn-et-Garonne department in southern France.
E1213875 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: Boudou | Statement: [arrondissement of Castelsarrasin, contains, Boudou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boudou
Context triple: [arrondissement of Castelsarrasin, contains, Boudou]
  • A. Doumer
    Doumer is a French surname most notably borne by Paul Doumer, the 13th President of France.
  • B. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • C. Belouizdad
    Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
  • D. Boulgher
    Boulgher is an alternative spelling or variant form of the surname Bulger.
  • E. Lélouma
    Lélouma is a significant urban center in the Middle Guinea region of Guinea, serving as an important local hub for administration and commerce.
  • 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: Boudou
Triple: [arrondissement of Castelsarrasin, contains, Boudou]
Generated description
Boudou is a small commune in the Tarn-et-Garonne department in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boudou
Target entity description: Boudou is a small commune in the Tarn-et-Garonne department in southern France.
  • A. Doumer
    Doumer is a French surname most notably borne by Paul Doumer, the 13th President of France.
  • B. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • C. Belouizdad
    Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
  • D. Boulgher
    Boulgher is an alternative spelling or variant form of the surname Bulger.
  • E. Lélouma
    Lélouma is a significant urban center in the Middle Guinea region of Guinea, serving as an important local hub for administration and commerce.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045922d748190bb3200c96f244149 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00473d31308190ab836c09da2a82da completed May 10, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.