Triple
T6743840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt Island Bridge |
E154156
|
entity |
| Predicate | hasLiftSpanLength |
P12200
|
FINISHED |
| Object | 418 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: 418 feet | Statement: [Roosevelt Island Bridge, hasLiftSpanLength, 418 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiftSpanLength Context triple: [Roosevelt Island Bridge, hasLiftSpanLength, 418 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.
hasLiftType
Indicates the specific type or category of lift associated with an entity.
-
D.
hasHighRiseSpan
Indicates that a structure or element extends vertically across a significant number of levels or stories, forming a tall or high-rise span.
-
E.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b543688190af179e0244d1ff75 |
completed | March 27, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.