Triple
T36318897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pocono Raceway |
E894274
|
entity |
| Predicate | hasShortStretchLength |
P151017
|
FINISHED |
| Object | 1780 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: 1780 feet | Statement: [Pocono Raceway, hasShortStretchLength, 1780 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortStretchLength Context triple: [Pocono Raceway, hasShortStretchLength, 1780 feet]
-
A.
hasLongStretchIn
Indicates that something extends for a considerable or continuous distance within a specified area, medium, or context.
-
B.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
-
C.
hasBackStretchLength
chosen
Indicates the length of the back stretch portion of something, typically a track or course, measured as a linear distance.
-
D.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
E.
hasShortRun
Indicates that an entity has a brief or limited-duration run or operational period.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.