Triple
T14732855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFK Bridge |
E346119
|
entity |
| Predicate | manhattanSpanType |
P25384
|
FINISHED |
| Object | suspension bridge |
—
|
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: suspension bridge | Statement: [RFK Bridge, manhattanSpanType, suspension bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manhattanSpanType Context triple: [RFK Bridge, manhattanSpanType, suspension bridge]
-
A.
spanType
chosen
Indicates the specific category or kind of span that characterizes the relationship or action between entities.
-
B.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
-
C.
baySpanned
Indicates that a structure or feature extends across and covers the width of a bay.
-
D.
manhattanServiceType
Indicates the specific category or type of service provided within the Manhattan area.
-
E.
spansMunicipality
Indicates that something (such as an area, structure, or feature) extends across or covers more than one municipality.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:29 a.m.