Triple
T15360347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sula |
E367272
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Hareid |
E494770
|
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: Hareid | Statement: [Sula, neighboringMunicipality, Hareid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hareid Context triple: [Sula, neighboringMunicipality, Hareid]
-
A.
Hareid
chosen
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
B.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
-
C.
Häger
Häger is a surname and place name of Germanic origin that appears as a variant spelling of Hager.
-
D.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
-
E.
Henreid
Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1343862481908962dfe0ab946b97 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.