Triple
T23048368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar Airport |
E573940
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bibinje |
—
|
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: Bibinje | Statement: [Zadar Airport, locatedNear, Bibinje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibinje Context triple: [Zadar Airport, locatedNear, Bibinje]
-
A.
Bibinje
chosen
Bibinje is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, located just southeast of the city of Zadar.
-
B.
Babreka
Babreka is one of Bulgaria’s famous Seven Rila Lakes, noted for its distinctive kidney-like shape and clear glacial waters in the Rila Mountains.
-
C.
Kamenjar
Kamenjar is a small settlement within the municipality of Temerin in the Vojvodina region of northern Serbia.
-
D.
Blidinje
Blidinje is a mountainous nature park in Bosnia and Herzegovina known for its glacial lake, highland landscapes, and rich medieval heritage.
-
E.
Bibirevo
Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867a206c81909ff923cbf56f7787 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.