Triple
T21837815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baščaršija Square |
E539165
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Sarači Street |
—
|
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: Sarači Street | Statement: [Baščaršija Square, hasNearbyStreet, Sarači Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarači Street Context triple: [Baščaršija Square, hasNearbyStreet, Sarači Street]
-
A.
Sarači Street
chosen
Sarači Street is a historic pedestrian street in Sarajevo’s old town, known for its traditional craft shops and Ottoman-era architecture.
-
B.
Bakačeva Street
Bakačeva Street is a central pedestrian street in Zagreb, Croatia, known for linking the main square with the city’s historic Upper Town and its popular shops and cafés.
-
C.
Gajeva Street
Gajeva Street is a central street in Zagreb, Croatia, known for linking the main Ban Jelačić Square with other key parts of the city’s downtown area.
-
D.
Gospodska Street
Gospodska Street is a central pedestrian and shopping street in Banja Luka, known for its historic architecture, cafes, and vibrant urban life.
-
E.
Bogovićeva Street
Bogovićeva Street is a popular pedestrian shopping and café street in central Zagreb, Croatia, extending from the main Ban Jelačić Square.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a9a36881909eb917f12d061ba9 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.