Triple

T8362692
Position Surface form Disambiguated ID Type / Status
Subject Puerto Rico FC E197047 entity
Predicate shortName P43 FINISHED
Object PRFC
PRFC is the abbreviated name commonly used for Puerto Rico FC, a professional football club based in Puerto Rico.
E729075 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: PRFC | Statement: [Puerto Rico FC, shortName, PRFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PRFC
Context triple: [Puerto Rico FC, shortName, PRFC]
  • A. PRF
    PRF is the ICAO airline designator for Precision Air, a Tanzanian regional airline based in Dar es Salaam.
  • B. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • C. PFA
    PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • D. rcf
    rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
  • E. PCF
    PCF (Policy Control Function) is a 5G core network component responsible for centralized policy management and decision-making for network behavior and quality of service.
  • 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: PRFC
Triple: [Puerto Rico FC, shortName, PRFC]
Generated description
PRFC is the abbreviated name commonly used for Puerto Rico FC, a professional football club based in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PRFC
Target entity description: PRFC is the abbreviated name commonly used for Puerto Rico FC, a professional football club based in Puerto Rico.
  • A. PRF
    PRF is the ICAO airline designator for Precision Air, a Tanzanian regional airline based in Dar es Salaam.
  • B. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • C. PFA
    PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • D. rcf
    rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
  • E. PCF
    PCF (Policy Control Function) is a 5G core network component responsible for centralized policy management and decision-making for network behavior and quality of service.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80768b208190a5f6c9e6cb6e7f30 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc77cf2ac8190a1c5b618fd64da73 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc872cc081909c75b3fb08b03e3f completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd15b53748190966a94b7e8c04880 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 6 p.m.