Triple
T30417657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Serenade |
E773802
|
entity |
| Predicate | isLongTrack |
P169194
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New York City Serenade, isLongTrack, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLongTrack Context triple: [New York City Serenade, isLongTrack, true]
-
A.
isShortTrack
Indicates that the referenced track or route is relatively short in length or duration compared to typical or standard tracks.
-
B.
lapLengthOfTrack
Indicates the distance or length of a single lap around a track.
-
C.
longestTrack
Indicates that the related track is the one with the greatest duration or length among a given set of tracks.
-
D.
hasLongStretchIn
Indicates that something extends for a considerable or continuous distance within a specified area, medium, or context.
-
E.
isLongWhen
Indicates that something has a relatively great length or duration when a specified condition or context holds.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6864b4dc08190ba1e8cf98c0b47f4 |
completed | May 2, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:05 p.m.