Triple
T37133803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dingmans Falls |
E919599
|
entity |
| Predicate | approximateDrivingTimeFromNewYorkCity |
P59086
|
FINISHED |
| Object | about 2 hours |
—
|
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: about 2 hours | Statement: [Dingmans Falls, approximateDrivingTimeFromNewYorkCity, about 2 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDrivingTimeFromNewYorkCity Context triple: [Dingmans Falls, approximateDrivingTimeFromNewYorkCity, about 2 hours]
-
A.
drivingTimeFromNewYorkCity
chosen
Indicates the amount of time it takes to drive from New York City to a specified location.
-
B.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
-
C.
locatedInDirectionFromNYC
Indicates that one place is situated in a specified compass direction relative to New York City.
-
D.
approximateDrivingTimeFromJuneau
Indicates the estimated amount of time it takes to drive from Juneau to another specified location.
-
E.
drivingTimeFromLosAngeles
Indicates the amount of time it takes to drive from Los Angeles to a specified location.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.