Triple
T3750474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troms og Finnmark |
E81316
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Alta |
E78263
|
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: Alta | Statement: [Troms og Finnmark, containsCity, Alta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alta Context triple: [Troms og Finnmark, containsCity, Alta]
-
A.
Alta
Alta is a small mountain town in Utah best known for its world-class powder skiing at Alta Ski Area in the Wasatch Range.
-
B.
Alta
chosen
Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
-
C.
Escalante
Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
D.
Modoc
The Modoc are a Native American people traditionally from the area around the California–Oregon border, known for their resistance during the 19th-century Modoc War.
-
E.
Arrah
Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6d0ac4819092c9a41cc60f518d |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db34aa5c8190ba3f22ee0f1f4208 |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:35 p.m.