Triple
T12971720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkkonummi |
E321412
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Seltjarnarnes |
E871902
|
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: Seltjarnarnes | Statement: [Kirkkonummi, hasTwinTown, Seltjarnarnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seltjarnarnes Context triple: [Kirkkonummi, hasTwinTown, Seltjarnarnes]
-
A.
Seltjarnarnes
chosen
Seltjarnarnes is a small coastal municipality in the Capital Region of Iceland, located on a peninsula just west of Reykjavík.
-
B.
Junnar
Junnar is an ancient town in Maharashtra, India, historically significant as a major urban and political center, including serving as a capital during the Satavahana dynasty.
-
C.
Horgabost
Horgabost is a small coastal settlement on the Isle of Harris in Scotland’s Outer Hebrides, known for its scenic beaches and rugged island landscape.
-
D.
Breiðholt
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
-
E.
Leknes
Leknes is a small coastal town in Norway’s Lofoten archipelago, known for its dramatic mountain-and-sea landscapes and role as a regional commercial center.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:36 p.m.