Triple
T27078842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akureyri |
E685536
|
entity |
| Predicate | hasHarborProperty |
P44134
|
FINISHED |
| Object | remains largely ice-free in winter |
—
|
LITERAL 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: remains largely ice-free in winter | Statement: [Akureyri, hasHarborProperty, remains largely ice-free in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHarborProperty Context triple: [Akureyri, hasHarborProperty, remains largely ice-free in winter]
-
A.
hasHarbor
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
-
B.
hasHarborCity
Indicates that one entity possesses or is associated with a city that functions as its harbor or port.
-
C.
hasHarborFeature
chosen
Indicates that something possesses or includes a specific harbor-related characteristic, structure, or facility.
-
D.
hasHarbormaster
Indicates that an entity has, is assigned, or is overseen by a specific harbormaster responsible for managing its harbor-related operations.
-
E.
hasPrivateHarbour
Indicates that an entity possesses or is associated with its own exclusive harbour not shared with the general public.
- F. None of above.
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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 8:33 a.m.