Triple
T12511683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSIS Semarang |
E299093
|
entity |
| Predicate | formerLeague |
P5927
|
FINISHED |
| Object | Liga 2 |
E977069
|
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 2 | Statement: [PSIS Semarang, formerLeague, Liga 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liga 2 Context triple: [PSIS Semarang, formerLeague, Liga 2]
-
A.
Liga 2
chosen
Liga 2 is the second-tier professional football league in Indonesia, sitting directly below the top-flight Liga 1 in the national league system.
-
B.
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.
-
C.
Liga 3
Liga 3 is a lower-tier Georgian football league that sits beneath Erovnuli Liga 2 in the national league system.
-
D.
Liga II
Liga II is the second tier of the Romanian professional football league system, sitting directly below Liga I.
-
E.
Liga 1
Liga 1 is the top-tier professional football league in Indonesia, featuring the country’s leading clubs in its premier competition.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb94d608190aae4c8ec39556362 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.