Triple
T20583979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orkdal |
E505734
|
entity |
| Predicate | mergedInto |
P77
|
FINISHED |
| Object | Orkland |
—
|
NE NERFINISHED |
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: Orkland | Statement: [Orkdal, mergedInto, Orkland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orkland Context triple: [Orkdal, mergedInto, Orkland]
-
A.
Orkland
chosen
Orkland is a municipality in central Norway known for its mix of coastal and inland landscapes, formed through the merger of several former municipalities in Trøndelag county.
-
B.
Portlands
Portlands is a residential suburb within Mitchells Plain, a large township on the Cape Flats in Cape Town, South Africa.
-
C.
Oakland, Oregon
Oakland, Oregon is a small historic city in southern Oregon known for its well-preserved 19th-century downtown and rural, agricultural surroundings.
-
D.
Oakland
Oakland is a neighborhood on Chicago’s South Side known for its historic residential architecture and proximity to the lakefront.
-
E.
Oakland
Oakland is a small city in western Iowa, United States, known for its rural Midwestern character and local agricultural community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a974ee4c819099310b46885a5597 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.