Triple
T10149440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnstaple Long Bridge |
E232591
|
entity |
| Predicate | hasApproximateNumberOfArches |
P9131
|
FINISHED |
| Object | about 16 |
—
|
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: about 16 | Statement: [Barnstaple Long Bridge, hasApproximateNumberOfArches, about 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfArches Context triple: [Barnstaple Long Bridge, hasApproximateNumberOfArches, about 16]
-
A.
hasNumberOfArches
chosen
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
B.
widthOfArches
Indicates the measurement of how wide the arches are in a given structure or context.
-
C.
hasApproximateIslandsCount
Indicates that an entity is associated with an estimated or non-exact number of islands.
-
D.
hasApproximateNumberOfTombs
Indicates that an entity is associated with a tomb count that is approximate rather than exact.
-
E.
hasNumberOfBridges
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:08 p.m.