Triple
T20835999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Željo |
E512960
|
entity |
| Predicate | associatedClubShortName |
P107182
|
FINISHED |
| Object | Željezničar |
—
|
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: Željezničar | Statement: [Željo, associatedClubShortName, Željezničar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Željezničar Context triple: [Željo, associatedClubShortName, Željezničar]
-
A.
Željezničar
chosen
Željezničar is a prominent professional football club from Sarajevo, Bosnia and Herzegovina, known for its passionate fan base and historic success in domestic competitions.
-
B.
Žarko
Žarko is a South Slavic masculine given name commonly used in countries such as Serbia, Montenegro, and Croatia.
-
C.
Metković
Metković is a town in southern Croatia near the border with Bosnia and Herzegovina, situated on the Neretva River and known as a regional transport and agricultural center.
-
D.
Željko
Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
-
E.
Radomir
Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.