Triple
T5335652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarajevo City Hall |
E123819
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baščaršija |
E125573
|
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: Baščaršija | Statement: [Sarajevo City Hall, locatedIn, Baščaršija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baščaršija Context triple: [Sarajevo City Hall, locatedIn, Baščaršija]
-
A.
Baščaršija
chosen
Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
-
B.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
C.
Omišalj
Omišalj is a historic coastal town and tourist destination on the northern part of the Croatian island of Krk, overlooking the Kvarner Gulf.
-
D.
Žabljak
Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
-
E.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85af799081909ee60bfbb65149ee |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4873ff0881908390c12767e18bb5 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2 p.m.