Triple
T12347246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arema FC |
E294387
|
entity |
| Predicate | homeCountryLeague |
P3509
|
FINISHED |
| Object | Liga 1 |
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 | Statement: [Arema FC, homeCountryLeague, Liga 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liga 1 Context triple: [Arema FC, homeCountryLeague, Liga 1]
-
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.
Liga I
Liga I is the top professional football division in Romania, featuring the country’s leading clubs in its premier league competition.
-
D.
Liga 3
Liga 3 is the third tier of the Indonesian football league system, serving as a nationwide competition and development platform for clubs across the country.
-
E.
Liga 3
Liga 3 is a lower-tier Georgian football league that sits beneath Erovnuli Liga 2 in the national 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671837a5c81908a7f41ac7e2bef59 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:53 p.m.