Triple
T28393632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horns Rev 2 |
E719220
|
entity |
| Predicate | hasBoatLandingOnSubstation |
P89180
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Horns Rev 2, hasBoatLandingOnSubstation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoatLandingOnSubstation Context triple: [Horns Rev 2, hasBoatLandingOnSubstation, yes]
-
A.
hasLifeboatStation
Indicates that a place or facility is equipped with a lifeboat station for maritime rescue or emergency response.
-
B.
hasBoatFacility
chosen
Indicates that an entity provides or is equipped with facilities or services specifically for boats.
-
C.
hasStructureOnShore
Indicates that a structure is located on or directly adjacent to the shore of a body of water.
-
D.
hasCauseOfSubmergence
Indicates a relationship where one entity is the cause or reason for another entity becoming submerged or underwater.
-
E.
hasBoatLine
Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 28, 2026, 1:15 a.m.