Triple
T1322749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reykjavík |
E28255
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Grafarvogur |
E152159
|
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: Grafarvogur | Statement: [Reykjavík, hasDistrict, Grafarvogur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grafarvogur Context triple: [Reykjavík, hasDistrict, Grafarvogur]
-
A.
Reykvíkingur
Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
-
B.
Vágar
Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
-
C.
Gardar
Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
-
D.
Laugardalur
chosen
Laugardalur is a district in Reykjavík, Iceland, known for its large recreational area featuring parks, sports facilities, and the city’s main geothermal swimming pool.
-
E.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62764d88190b7d1fca10835f560 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:55 p.m.