Triple
T18369249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Sea |
E440135
|
entity |
| Predicate | exhibitScale |
P80044
|
FINISHED |
| Object | large |
—
|
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: large | Statement: [Open Sea, exhibitScale, large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitScale Context triple: [Open Sea, exhibitScale, large]
-
A.
exhibitionScale
chosen
Indicates the relative size, scope, or extent of an exhibition in which an entity is presented or involved.
-
B.
exhibitFor
Indicates a relationship where something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
C.
exhibitStyle
Indicates that an entity displays, demonstrates, or embodies a particular style or manner of expression.
-
D.
coversScale
Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e51750d3dc8190b153046c1171ee2b |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:38 a.m.