Triple
T22339001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zrinjski Mostar |
E552224
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Mostar |
—
|
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: Mostar | Statement: [Zrinjski Mostar, city, Mostar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mostar Context triple: [Zrinjski Mostar, city, Mostar]
-
A.
Mostar
chosen
Mostar is a historic city in Bosnia and Herzegovina, best known for its iconic Ottoman-era Stari Most (Old Bridge) spanning the Neretva River.
-
B.
Mostar Canton
Mostar Canton is an administrative region in Bosnia and Herzegovina that encompasses the city of Mostar and its surrounding area.
-
C.
Jajce
Jajce is a historic town in central Bosnia and Herzegovina known for its medieval fortress, picturesque waterfall, and key role in World War II as a political center of the Yugoslav resistance.
-
D.
Zrinjski Mostar
Zrinjski Mostar is a historic professional football club from Mostar, Bosnia and Herzegovina, known as one of the country’s most successful and popular teams.
-
E.
Trebinje
Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.