Triple
T9975733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudiksvall Municipality |
E196321
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object | Enånger |
E832704
|
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: Enånger | Statement: [Hudiksvall Municipality, hasUrbanArea, Enånger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enånger Context triple: [Hudiksvall Municipality, hasUrbanArea, Enånger]
-
A.
Enånger
chosen
Enånger is a small locality in Gävleborg County, Sweden, known as a rural community within the coastal region of Hälsingland.
-
B.
Harmånger
Harmånger is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
-
C.
Ängesön
Ängesön is an island in northern Sweden that forms part of the Holmön archipelago in the Gulf of Bothnia.
-
D.
Ange
Ange is a French given name, historically borne by figures such as the Marquis de Duquesne and associated with French nobility and military leadership.
-
E.
Uttigen
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257c9f6cc81908256dc1e8d6c3fea |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:48 p.m.