Triple
T16196643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysebotn |
E393076
|
entity |
| Predicate | hasRecreationalHarbor |
P3007
|
FINISHED |
| Object | small marina |
—
|
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: small marina | Statement: [Lysebotn, hasRecreationalHarbor, small marina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecreationalHarbor Context triple: [Lysebotn, hasRecreationalHarbor, small marina]
-
A.
hasCoastalRecreation
Indicates that an entity provides, supports, or is associated with recreational activities occurring along a coast or shoreline.
-
B.
hasHarbor
chosen
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
-
C.
hasHarbourEntrance
Indicates that an entity serves as the entrance or access point to a harbour for another entity.
-
D.
hasBoatFacility
Indicates that an entity provides or is equipped with facilities or services specifically for boats.
-
E.
hasBoatRamp
Indicates that a location provides a designated ramp or launch area for putting boats into the water or taking them out.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dace848190b1a98e47333b922b |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.