Triple
T12805491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TFF First League |
E306133
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | PTT 1. Lig |
E306133
|
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: PTT 1. Lig | Statement: [TFF First League, previousName, PTT 1. Lig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PTT 1. Lig Context triple: [TFF First League, previousName, PTT 1. Lig]
-
A.
TFF First League
chosen
The TFF First League is the second-highest division in the Turkish football league system, sitting just below the Süper Lig.
-
B.
Superettan
Superettan is the second-highest professional football league in Sweden, sitting directly below the Allsvenskan in the national league system.
-
C.
Milli Lig
Milli Lig was the original name of Turkey’s top professional football league, which later became known as the Süper Lig.
-
D.
Veikkausliiga
Veikkausliiga is the top professional football league in Finland, featuring the country’s highest-level clubs in the sport.
-
E.
Liga I
Liga I is the top professional football division in Romania, featuring the country’s leading clubs in its premier league 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec463f08190822e5235362cf584 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.