Triple
T22778413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metalist Stadium |
E563766
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Metalist |
—
|
NE NERFINISHED |
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: Metalist | Statement: [Metalist Stadium, namedAfter, Metalist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metalist Context triple: [Metalist Stadium, namedAfter, Metalist]
-
A.
Metalist
chosen
Metalist is the commonly used short name for FC Metalist Kharkiv, a Ukrainian professional football club based in Kharkiv.
-
B.
The Steelmen
The Steelmen is the nickname of Motherwell F.C., a Scottish professional football club traditionally associated with the steel industry in the town of Motherwell.
-
C.
Setif
Sétif is a major city in northeastern Algeria known as an important commercial and agricultural center with a rich historical heritage.
-
D.
Rockhal
Rockhal is a major contemporary music venue and cultural center in Luxembourg, known for hosting international concerts and events.
-
E.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.