Triple

T12650620
Position Surface form Disambiguated ID Type / Status
Subject Herborn E302146 entity
Predicate hasTwinTown P919 FINISHED
Object Pertuis
Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
 E998828 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: Pertuis | Statement: [Herborn, hasTwinTown, Pertuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pertuis
Context triple: [Herborn, hasTwinTown, Pertuis]
  • A. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • B. Bouguenais
    Bouguenais is a suburban commune in western France, located near Nantes and known for hosting Nantes Atlantique Airport.
  • C. Gouin
    Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
  • D. Pontgouin
    Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
  • E. Avranchin
    Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, 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: Pertuis
Triple: [Herborn, hasTwinTown, Pertuis]
Generated description
Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pertuis
Target entity description: Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
  • A. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • B. Bouguenais
    Bouguenais is a suburban commune in western France, located near Nantes and known for hosting Nantes Atlantique Airport.
  • C. Gouin
    Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
  • D. Pontgouin
    Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
  • E. Avranchin
    Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615f28cc81908e37249d7ab5ed74 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719c18508190a9c28b2526e6b336 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6749c2ddc8190945270e6e5b210dd completed May 2, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69f675c42fec8190b60751c0db88f3b6 completed May 2, 2026, 10:08 p.m.
Created at: April 9, 2026, 5:18 p.m.