Triple

T12054576
Position Surface form Disambiguated ID Type / Status
Subject Peru national football team E287006 entity
Predicate fifaCode P6278 FINISHED
Object PER
PER is the FIFA country code used to represent the Peru national football team in international competitions and official records.
 E961997 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: PER | Statement: [Peru national football team, fifaCode, PER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PER
Context triple: [Peru national football team, fifaCode, PER]
  • A. PER
    PER is the stock ticker symbol under which Perot Systems, an information technology services company founded by Ross Perot, was traded on public markets.
  • B. PER
    PER is the IATA airport code for Perth Airport, the main international and domestic gateway serving Perth in Western Australia.
  • C. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • D. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • E. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • 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: PER
Triple: [Peru national football team, fifaCode, PER]
Generated description
PER is the FIFA country code used to represent the Peru national football team in international competitions and official records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PER
Target entity description: PER is the FIFA country code used to represent the Peru national football team in international competitions and official records.
  • A. PER
    PER is the IATA airport code for Perth Airport, the main international and domestic gateway serving Perth in Western Australia.
  • B. PER
    PER is the stock ticker symbol under which Perot Systems, an information technology services company founded by Ross Perot, was traded on public markets.
  • C. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • D. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • E. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ddde6548190adae2a889ec5c72b completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.