Triple
T13182633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istria County |
E313766
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Buje |
E316884
|
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: Buje | Statement: [Istria County, containsSettlement, Buje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buje Context triple: [Istria County, containsSettlement, Buje]
-
A.
Buje
chosen
Buje is a small historic town in the Istrian region of Croatia, known for its hilltop setting, Venetian-influenced architecture, and surrounding vineyards and olive groves.
-
B.
Bibinje
Bibinje is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, located just southeast of the city of Zadar.
-
C.
Susak
Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
-
D.
Kuje
Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
-
E.
Bucine
Bucine is a municipality in the Tuscany region of central Italy, known for its rural landscapes and historic villages.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:15 p.m.