Triple
T15345210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulvik |
E366898
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Ulvikabu |
E366898
|
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: Ulvikabu | Statement: [Ulvik, hasDemonym, Ulvikabu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulvikabu Context triple: [Ulvik, hasDemonym, Ulvikabu]
-
A.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
B.
Yenikale
Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
-
C.
Ulvik
chosen
Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
-
D.
Ulvila
Ulvila is a historic town and municipality in western Finland, located in the Satakunta region along the Kokemäki River.
-
E.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e163a3c8190ab933411372c1573 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f931408190828d87567cecaceb |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.