Triple
T11711687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian football league system |
E278387
|
entity |
| Predicate | hasThirdTier |
P18792
|
FINISHED |
| Object | Liga 3 |
E941999
|
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 3 | Statement: [Georgian football league system, hasThirdTier, Liga 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liga 3 Context triple: [Georgian football league system, hasThirdTier, Liga 3]
-
A.
Liga 3
chosen
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.
3. Liga
3. Liga is the third tier of professional football in Germany, sitting below the Bundesliga and 2. Bundesliga in the national league system.
-
D.
2. Liga
2. Liga is the common shorthand name for Germany’s second-tier professional football league, officially known as the 2. Bundesliga.
-
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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0196916e081908671e79765d03778 |
completed | April 28, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:40 p.m.