Triple
T16423411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnmark |
E398878
|
entity |
| Predicate | containsTown |
P847
|
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: [Finnmark, containsTown, Alta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alta Context triple: [Finnmark, containsTown, 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
"Alta" is a song by Ty Segall from his album "Freedom’s Goblin," showcasing his eclectic, garage rock-influenced style.
-
C.
Alta
chosen
Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
-
D.
Alta
Alta is a feminine given name of Latin origin meaning "high" or "elevated," used in various cultures but particularly in English-speaking countries.
-
E.
Escalante
Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f911b88190b19de52a1f700af8 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458168888190bd0be495efa5c563 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.