Triple
T31689341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swing-A-Long Bridge |
E808744
|
entity |
| Predicate | hasHeightAboveGround |
P64476
|
FINISHED |
| Object | approximately 70 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: approximately 70 feet | Statement: [Swing-A-Long Bridge, hasHeightAboveGround, approximately 70 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeightAboveGround Context triple: [Swing-A-Long Bridge, hasHeightAboveGround, approximately 70 feet]
-
A.
heightAboveGround
chosen
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
-
B.
locatedAboveGround
Indicates that one entity is positioned at a level higher than the ground surface, not buried or below ground.
-
C.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
D.
valleyHeightAboveGround
Indicates the vertical distance between the valley’s lowest point and the surrounding ground level.
-
E.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 30, 2026, 11:08 p.m.