Triple

T1306853
Position Surface form Disambiguated ID Type / Status
Subject Portugal national football team E27898 entity
Predicate FIFACode P6278 FINISHED
Object POR
POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
 E149297 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: POR | Statement: [Portugal national football team, FIFACode, POR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: POR
Context triple: [Portugal national football team, FIFACode, POR]
  • A. 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.
  • B. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • C. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • D. POL
    POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
  • E. PL
    PL is the commonly used abbreviation for the Patriot League, an NCAA Division I collegiate athletic conference known for emphasizing both academic and athletic excellence.
  • 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: POR
Triple: [Portugal national football team, FIFACode, POR]
Generated description
POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: POR
Target entity description: POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
  • A. 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.
  • B. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • C. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • D. POL
    POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
  • E. PL
    PL is the commonly used abbreviation for the Patriot League, an NCAA Division I collegiate athletic conference known for emphasizing both academic and athletic excellence.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1368038819089d1091cc43901a3 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb308fdcc8190b33da42f16cd65dd completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3a1978c819081cdc85f8fe10dd3 completed March 7, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69acb4132dbc8190b3e6c4880c33b7f2 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.