Triple
T31210825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacony–Palmyra Bridge |
E795735
|
entity |
| Predicate | hasLiftOperation |
P194023
|
FINISHED |
| Object | to allow passage of ships |
—
|
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: to allow passage of ships | Statement: [Tacony–Palmyra Bridge, hasLiftOperation, to allow passage of ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiftOperation Context triple: [Tacony–Palmyra Bridge, hasLiftOperation, to allow passage of ships]
-
A.
hasLift
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.
hasLockLift
Indicates that an entity is equipped with or features a mechanism that lifts or raises a lock.
-
D.
operatesLiftType
Indicates that an entity is responsible for operating or controlling a specific type of lift.
-
E.
hasApproximateNumberOfLifts
Indicates that an entity is associated with an estimated or non-exact count of lifts.
- F. None of above. chosen
Provenance (4 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 29, 2026, 9:09 p.m.