Triple
T19220411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grue municipality |
E480596
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Namnå |
—
|
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: Namnå | Statement: [Grue municipality, hasSettlement, Namnå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namnå Context triple: [Grue municipality, hasSettlement, Namnå]
-
A.
Namnå
chosen
Namnå is a small village in Grue Municipality in Innlandet county, Norway.
-
B.
Namin
Namin is a city in Iran known for its location in the mountainous, historically rich Ardabil region in the northwest of the country.
-
C.
Namnetes
The Namnetes were an ancient Celtic tribe of western Gaul, associated with the region around modern Nantes in present-day France.
-
D.
Namanve
Namanve is an industrial and commercial area in central Uganda known for hosting the Kampala Industrial and Business Park and various manufacturing facilities.
-
E.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3e8d488190a93fb743dabd0ffb |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:24 p.m.