Triple
T15751309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andselv |
E381850
|
entity |
| Predicate | locatedInGeographicRegion |
P40
|
FINISHED |
| Object | Inner Troms |
E80793
|
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: Inner Troms | Statement: [Andselv, locatedInGeographicRegion, Inner Troms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inner Troms Context triple: [Andselv, locatedInGeographicRegion, Inner Troms]
-
A.
Southern Troms
Southern Troms is a region in the southern part of Troms county in northern Norway, encompassing coastal and inland communities for which Harstad serves as the main urban and administrative hub.
-
B.
Indre
Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
-
C.
Indre
Indre is a rural department in central France known for its quiet countryside, historic towns, and location within the Centre-Val de Loire region.
-
D.
Troms
chosen
Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
-
E.
Innlandet
Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.