Triple
T1127842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 145th Street Bridge |
E24759
|
entity |
| Predicate | hasMovableSpan |
P25282
|
FINISHED |
| Object | 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: yes | Statement: [145th Street Bridge, hasMovableSpan, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMovableSpan Context triple: [145th Street Bridge, hasMovableSpan, yes]
-
A.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
B.
numberOfSpans
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
C.
hasMovementType
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
D.
hasCanonicalPosition
Indicates that an entity occupies a standard, officially recognized, or authoritative position or location within a defined structure or system.
-
E.
hasSplit
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.