Triple

T2893838
Position Surface form Disambiguated ID Type / Status
Subject Portimão railway station E63890 entity
Predicate railwayStationCode P1289 FINISHED
Object PMA
PMA is the station code for Portimão railway station in Portugal’s Algarve region.
E308148 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: PMA | Statement: [Portimão railway station, railwayStationCode, PMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PMA
Context triple: [Portimão railway station, railwayStationCode, PMA]
  • A. 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.
  • B. PAM
    PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
  • C. POMA
    POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
  • D. PMC
    PMC is the commonly used abbreviation for Pauli Murray College, a residential college at Yale University named after civil rights activist and legal scholar Pauli Murray.
  • E. PMC
    PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
  • 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: PMA
Triple: [Portimão railway station, railwayStationCode, PMA]
Generated description
PMA is the station code for Portimão railway station in Portugal’s Algarve region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PMA
Target entity description: PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • A. 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.
  • B. PAM
    PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
  • C. POMA
    POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
  • D. PMC
    PMC is the commonly used abbreviation for Pauli Murray College, a residential college at Yale University named after civil rights activist and legal scholar Pauli Murray.
  • E. PMC
    PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe063de6c8190bce9ddefd1dd62e1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031814764819096a1664b468ec817 completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b03206ad288190aaa97a9379f3438c completed March 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69b0398b955c81909c6155706f4b90e9 completed March 10, 2026, 3:32 p.m.
Created at: March 6, 2026, 10:07 p.m.