Triple
T13471580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Averøy Municipality |
E311640
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Eide |
E494774
|
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: Eide | Statement: [Averøy Municipality, hasRoadConnectionTo, Eide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eide Context triple: [Averøy Municipality, hasRoadConnectionTo, Eide]
-
A.
Eide
chosen
Eide is a village and former municipality located on the island of Nordmøre in western Norway’s Møre og Romsdal county.
-
B.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
C.
Eidsvold
Eidsvold is a rural town in Queensland, Australia, known historically for cattle grazing and gold mining along the Burnett River.
-
D.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
E.
Easterbrook
Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462bcb848190804a48f1a50a0c71 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.