Triple

T6255562
Position Surface form Disambiguated ID Type / Status
Subject Perpignan Méditerranée Métropole E140154 entity
Predicate abbreviation P43 FINISHED
Object PMM
PMM is the commonly used acronym for Perpignan Méditerranée Métropole, an intercommunal urban community centered on the city of Perpignan in southern France.
 E580237 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: PMM | Statement: [Perpignan Méditerranée Métropole, abbreviation, PMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PMM
Context triple: [Perpignan Méditerranée Métropole, abbreviation, PMM]
  • A. PMO
    PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
  • B. PDM
    PDM is a modern Python package and dependency manager that emphasizes PEP 582 support and a streamlined, pyproject.toml-based workflow.
  • C. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • D. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • E. PRD
    PRD is a major left-of-center political party in Mexico known formally as the Party of the Democratic Revolution.
  • 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: PMM
Triple: [Perpignan Méditerranée Métropole, abbreviation, PMM]
Generated description
PMM is the commonly used acronym for Perpignan Méditerranée Métropole, an intercommunal urban community centered on the city of Perpignan in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PMM
Target entity description: PMM is the commonly used acronym for Perpignan Méditerranée Métropole, an intercommunal urban community centered on the city of Perpignan in southern France.
  • A. PMO
    PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
  • B. PDM
    PDM is a modern Python package and dependency manager that emphasizes PEP 582 support and a streamlined, pyproject.toml-based workflow.
  • C. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • D. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • E. PRD
    PRD is a major left-of-center political party in Mexico known formally as the Party of the Democratic Revolution.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06363d6008190bf05e003b1f74497 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443138788190835ed3fd99f21827 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c4fb6bb9bc8190a29ae09221aa5464 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc075dd881908230bb66d1445d5a completed March 26, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:24 p.m.