Triple

T2983409
Position Surface form Disambiguated ID Type / Status
Subject Lleida E80563 entity
Predicate historicalRegion P915 FINISHED
Object Ponent
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
 E317156 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: Ponent | Statement: [Lleida, historicalRegion, Ponent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ponent
Context triple: [Lleida, historicalRegion, Ponent]
  • A. Poro
    Poro is a municipality located on Poro Island in the province of Cebu in the Philippines.
  • B. Catreus
    Catreus is a figure in Greek mythology, a son of King Minos of Crete whose tragic fate is tied to a prophecy that he would be killed by one of his own children.
  • C. Paratus
    Paratus is the Latin motto of Bentley University, meaning "prepared" and reflecting the institution’s emphasis on readiness for professional and personal success.
  • D. Tavros
    Tavros is a suburban municipality in the Athens urban area of Greece, known for its mixed residential and industrial character.
  • E. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • 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: Ponent
Triple: [Lleida, historicalRegion, Ponent]
Generated description
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ponent
Target entity description: Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
  • A. Poro
    Poro is a municipality located on Poro Island in the province of Cebu in the Philippines.
  • B. Catreus
    Catreus is a figure in Greek mythology, a son of King Minos of Crete whose tragic fate is tied to a prophecy that he would be killed by one of his own children.
  • C. Paratus
    Paratus is the Latin motto of Bentley University, meaning "prepared" and reflecting the institution’s emphasis on readiness for professional and personal success.
  • D. Tavros
    Tavros is a suburban municipality in the Athens urban area of Greece, known for its mixed residential and industrial character.
  • E. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c481fc81909971c96352a881b4 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f5e5c88190b9dd0a67cb159854 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10b3967ac81908390d684f2fb23b2 completed March 11, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69b10f312ec88190b632639acbd024dc completed March 11, 2026, 6:44 a.m.
Created at: March 8, 2026, 2:58 p.m.