Triple
T24102881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport Bridge (Middlesbrough) |
E597134
|
entity |
| Predicate | hasLiftFunction |
P35396
|
FINISHED |
| Object | originally 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: originally yes | Statement: [Newport Bridge (Middlesbrough), hasLiftFunction, originally yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiftFunction Context triple: [Newport Bridge (Middlesbrough), hasLiftFunction, originally yes]
-
A.
hasLift
chosen
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
B.
hasLiftType
Indicates the specific type or category of lift associated with an entity.
-
C.
hasLFunction
Indicates that an entity possesses or is associated with a specific L-function, typically representing a complex analytic function linked to its arithmetic or geometric properties.
-
D.
hasUpperLevelFunction
Indicates that one function operates at a higher or more abstract level than another function within a hierarchical relationship.
-
E.
hasHighestLift
Indicates that the subject entity achieves the greatest lift value (e.g., improvement or elevation relative to a baseline) compared to all other relevant entities in the given 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd2ad01881909aa5a3c300009086 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11 p.m.