Triple

T6003811
Position Surface form Disambiguated ID Type / Status
Subject Professional Referee Organization E133658 entity
Predicate abbreviation P43 FINISHED
Object PRO
PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
 E561046 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: PRO | Statement: [Professional Referee Organization, abbreviation, PRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PRO
Context triple: [Professional Referee Organization, abbreviation, PRO]
  • A. PROF
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • B. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • C. POR
    POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
  • D. PER
    PER is the IATA airport code for Perth Airport, the main international and domestic gateway serving Perth in Western Australia.
  • E. Proz
    Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
  • 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: PRO
Triple: [Professional Referee Organization, abbreviation, PRO]
Generated description
PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PRO
Target entity description: PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • A. PROF
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • B. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • C. POR
    POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
  • D. PER
    PER is the IATA airport code for Perth Airport, the main international and domestic gateway serving Perth in Western Australia.
  • E. Proz
    Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f0f63148190826198281dce3713 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1088f5c84819094e4696c24c4dd79 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1099f00f88190a5f1f0fafbb679c2 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10a2ffdcc8190bfeebc59d98b2b29 completed March 23, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:06 p.m.