Triple
T4248298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian Littoral |
E95581
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Izola |
E314823
|
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: Izola | Statement: [Slovenian Littoral, hasMajorCity, Izola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izola Context triple: [Slovenian Littoral, hasMajorCity, Izola]
-
A.
Izola
chosen
Izola is a coastal town and popular tourist destination on the Adriatic Sea in southwestern Slovenia, known for its fishing heritage and picturesque old town.
-
B.
Zihl
Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
-
C.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
-
D.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
E.
Nidzica
Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87c033881908e0cf9fdfecaf36a |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.