Triple
T30984270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleethorpes Pier |
E789476
|
entity |
| Predicate | reducedLength |
P80659
|
FINISHED |
| Object | about 355 feet |
—
|
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 355 feet | Statement: [Cleethorpes Pier, reducedLength, about 355 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedLength Context triple: [Cleethorpes Pier, reducedLength, about 355 feet]
-
A.
reducedNumberOf
Indicates that the subject has a smaller quantity or count of the specified object or attribute compared to a prior state or reference level.
-
B.
reducedVersionOf
Indicates that one entity is a simplified, shortened, or otherwise less extensive form of another entity while preserving its essential content or function.
-
C.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
-
D.
wasShortened
chosen
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
E.
reducedCapacity
Indicates that an entity is functioning with less than its normal or full capacity, ability, or effectiveness.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:55 p.m.