Triple
T14009767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagykanizsa |
E337046
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bihac |
E480181
|
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: Bihac | Statement: [Nagykanizsa, hasTwinTown, Bihac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bihac Context triple: [Nagykanizsa, hasTwinTown, Bihac]
-
A.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
B.
Bihać
chosen
Bihać is a city in northwestern Bosnia and Herzegovina that became internationally known during the Bosnian War as a besieged enclave and designated UN "safe area."
-
C.
Brodnica
Brodnica is a historic town in north-central Poland known for its medieval architecture and location on the Drwęca River.
-
D.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
-
E.
Dedinje
Dedinje is an affluent residential neighborhood in Belgrade, Serbia, known for its villas, diplomatic residences, and prominent landmarks.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27fb2e6c81909e358862e012c49b |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 9, 2026, 10:19 p.m.