Triple
T12252453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Force |
E292006
|
entity |
| Predicate | associatedLeague |
P888
|
FINISHED |
| Object | Liga 1 Indonesia |
E292003
|
NE FINISHED |
How this triple was built (2 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 1 Indonesia | Statement: [Green Force, associatedLeague, Liga 1 Indonesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liga 1 Indonesia Context triple: [Green Force, associatedLeague, Liga 1 Indonesia]
-
A.
Liga 1
chosen
Liga 1 is the top-tier professional football league in Indonesia, featuring the country’s leading clubs in its premier competition.
-
B.
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.
-
C.
PT Liga Indonesia Baru
PT Liga Indonesia Baru is the company responsible for managing and commercializing Indonesia’s top-tier professional football league system.
-
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.
Piala Indonesia
Piala Indonesia is Indonesia’s premier national knockout football cup competition, featuring clubs from multiple tiers of the country’s league system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f64b893a70819090d4ebb0609e6544 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:52 p.m.