Triple
T6198572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akashi Kaikyo Bridge |
E138571
|
entity |
| Predicate | pylonCount |
P55085
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Akashi Kaikyo Bridge, pylonCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pylonCount Context triple: [Akashi Kaikyo Bridge, pylonCount, 2]
-
A.
hasPylonCount
chosen
Indicates the relationship specifying how many pylons are associated with or present in a given entity.
-
B.
pylonType
Indicates the specific structural or functional category that a pylon belongs to within a given context.
-
C.
pixelCount
Indicates the total number of individual pixels that make up a given image or visual element.
-
D.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
E.
numberOfPlates
Indicates the quantity of plates associated with or involved in a particular entity, event, or context.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06251b47881909bd8d2ea37541959 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.