Triple
T14732856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFK Bridge |
E346119
|
entity |
| Predicate | queensSpanType |
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, queensSpanType, suspension bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queensSpanType Context triple: [RFK Bridge, queensSpanType, suspension bridge]
-
A.
queenLength
Indicates the length or duration associated with a queen in the given context.
-
B.
spanType
chosen
Indicates the specific category or kind of span that characterizes the relationship or action between entities.
-
C.
chiefQueen
Indicates that one entity is the primary or highest-ranking queen in relation to another entity.
-
D.
hasQueensTrunk
Indicates that one entity possesses or is equipped with a trunk specifically designated for a queen.
-
E.
queensMainLine
Indicates a primary or central connection or route associated with Queens, often representing the main line of travel, communication, or linkage within that context.
- 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.