Triple
T23126988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hå |
E577058
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ogna |
—
|
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: Ogna | Statement: [Hå, containsSettlement, Ogna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogna Context triple: [Hå, containsSettlement, Ogna]
-
A.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
B.
Ogna
chosen
Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
-
C.
Ogna river
The Ogna river is a Norwegian watercourse that drains surrounding inland areas and flows into the Beitstadfjorden, an inner branch of the Trondheimsfjord.
-
D.
Ogone
Ogone is a European online payment service provider that offers secure payment processing solutions for e-commerce and other digital businesses.
-
E.
Olinia
Olinia is a genus of flowering plants in the family Oliniaceae, comprising shrubs and small trees native mainly to southern Africa.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e55aa38819092816ffc52e20dbe |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.