Triple

T12252577
Position Surface form Disambiguated ID Type / Status
Subject PSSI E292010 entity
Predicate organizesCompetition P527 FINISHED
Object Liga 2
Liga 2 is the second-tier professional football league in Indonesia, sitting directly below the top-flight Liga 1 in the national league system.
E977069 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: Liga 2 | Statement: [PSSI, organizesCompetition, Liga 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga 2
Context triple: [PSSI, organizesCompetition, Liga 2]
  • A. Liga 3
    Liga 3 is a lower-tier Georgian football league that sits beneath Erovnuli Liga 2 in the national league system.
  • B. Liga II
    Liga II is the second tier of the Romanian professional football league system, sitting directly below Liga I.
  • C. Liga 1
    Liga 1 is the top-tier professional football league in Indonesia, featuring the country’s leading clubs in its premier competition.
  • D. Liga I
    Liga I is the top professional football division in Romania, featuring the country’s leading clubs in its premier league competition.
  • E. II liga
    II liga is the third tier of the Polish football league system, featuring professional and semi-professional clubs competing below the I liga and Ekstraklasa.
  • 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: Liga 2
Triple: [PSSI, organizesCompetition, Liga 2]
Generated description
Liga 2 is the second-tier professional football league in Indonesia, sitting directly below the top-flight Liga 1 in the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liga 2
Target entity description: Liga 2 is the second-tier professional football league in Indonesia, sitting directly below the top-flight Liga 1 in the national league system.
  • A. Liga 3
    Liga 3 is a lower-tier Georgian football league that sits beneath Erovnuli Liga 2 in the national league system.
  • B. Liga II
    Liga II is the second tier of the Romanian professional football league system, sitting directly below Liga I.
  • C. Liga 1
    Liga 1 is the top-tier professional football league in Indonesia, featuring the country’s leading clubs in its premier competition.
  • D. Liga I
    Liga I is the top professional football division in Romania, featuring the country’s leading clubs in its premier league competition.
  • E. II liga
    II liga is the third tier of the Polish football league system, featuring professional and semi-professional clubs competing below the I liga and Ekstraklasa.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a921b8c8190b3f899b03575b194 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be354a88190aaf5e8439b33120b completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62c8194d881909db3d320a21f2052 completed May 2, 2026, 4:55 p.m.
Created at: April 8, 2026, 9:52 p.m.