Triple
T9902250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderton Boat Lift |
E182312
|
entity |
| Predicate | verticalLift |
P12200
|
FINISHED |
| Object | about 50 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 50 feet | Statement: [Anderton Boat Lift, verticalLift, about 50 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verticalLift Context triple: [Anderton Boat Lift, verticalLift, about 50 feet]
-
A.
verticalLiftSpanLength
chosen
Indicates the length of the span that moves vertically in a lifting structure or mechanism.
-
B.
hasLift
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
C.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
D.
targetVertical
Indicates that one entity is directed toward, aligned with, or intended for a specific vertical market, domain, or industry segment.
-
E.
verticalMigration
Indicates movement of an entity up and down along a vertical axis, typically in a repeated or cyclical pattern over time.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e391888190a3f5e5a1bf1cf9ff |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.