Triple

T4035893
Position Surface form Disambiguated ID Type / Status
Subject Terra Alta E83825 entity
Predicate hasMunicipality P847 FINISHED
Object Prat de Comte
Prat de Comte is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its traditional agriculture and scenic Mediterranean landscape.
 E407879 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: Prat de Comte | Statement: [Terra Alta, hasMunicipality, Prat de Comte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prat de Comte
Context triple: [Terra Alta, hasMunicipality, Prat de Comte]
  • A. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • B. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • C. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • D. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • E. Mont Revard
    Mont Revard is a prominent mountain in the French Alps known for its panoramic views over Lake Bourget and its popularity for skiing, hiking, and cycling.
  • 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: Prat de Comte
Triple: [Terra Alta, hasMunicipality, Prat de Comte]
Generated description
Prat de Comte is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its traditional agriculture and scenic Mediterranean landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prat de Comte
Target entity description: Prat de Comte is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its traditional agriculture and scenic Mediterranean landscape.
  • A. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • B. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • C. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • D. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • E. Mont Revard
    Mont Revard is a prominent mountain in the French Alps known for its panoramic views over Lake Bourget and its popularity for skiing, hiking, and cycling.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556415ebc8190a528c7e22dbf70df completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556efc2148190a66e732e09e4fc21 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b5575de0e88190843f1fcbc12c9dd5 completed March 14, 2026, 12:41 p.m.
Created at: March 9, 2026, 3:36 p.m.