Triple

T18403621
Position Surface form Disambiguated ID Type / Status
Subject LFMT E450060 entity
Predicate locatedNear P294 FINISHED
Object Pérols
Pérols is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and local lagoons.
 E1321954 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: Pérols | Statement: [LFMT, locatedNear, Pérols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pérols
Context triple: [LFMT, locatedNear, Pérols]
  • A. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • B. Pisté
    Pisté is a small village in the Mexican state of Yucatán, best known as the main gateway town to the nearby ancient Maya ruins of Chichén Itzá.
  • C. Cérons
    Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Piquenard
    Piquenard is a French-origin surname most notably associated with architect Alfred H. Piquenard, known for designing prominent public buildings in the United States in the 19th century.
  • 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: Pérols
Triple: [LFMT, locatedNear, Pérols]
Generated description
Pérols is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and local lagoons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pérols
Target entity description: Pérols is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and local lagoons.
  • A. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • B. Pisté
    Pisté is a small village in the Mexican state of Yucatán, best known as the main gateway town to the nearby ancient Maya ruins of Chichén Itzá.
  • C. Cérons
    Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Piquenard
    Piquenard is a French-origin surname most notably associated with architect Alfred H. Piquenard, known for designing prominent public buildings in the United States in the 19th century.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195509cc8190bd4e91adb9b4a0ce completed April 19, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24617ec8190b476946d0f567e34 completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e2bbcee08190a2b8cb25ebbe8ec8 completed May 13, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a03e352c8d08190b64e98a9bf382649 completed May 13, 2026, 2:34 a.m.
Created at: April 10, 2026, 10:46 a.m.