Triple
T15531969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ålesund Airport, Vigra |
E370241
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vigra |
E1153637
|
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: Vigra | Statement: [Ålesund Airport, Vigra, locatedIn, Vigra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vigra Context triple: [Ålesund Airport, Vigra, locatedIn, Vigra]
-
A.
Vigra
chosen
Vigra is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes, beaches, and the Ålesund Airport located there.
-
B.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
-
C.
Vingrau
Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
-
D.
Garia
Garia is a traditional tribal deity venerated in parts of Northeast India, particularly among the Tripuri people, as a god associated with prosperity, fertility, and protection.
-
E.
Vianí
Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5e82a48190bb0a10ebc2412129 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.