Triple
T5391225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California High-Speed Rail |
E120332
|
entity |
| Predicate | estimatedTravelTimeSFtoLA |
P62969
|
FINISHED |
| Object | under 3 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: under 3 hours | Statement: [California High-Speed Rail, estimatedTravelTimeSFtoLA, under 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedTravelTimeSFtoLA Context triple: [California High-Speed Rail, estimatedTravelTimeSFtoLA, under 3 hours]
-
A.
distanceToLosAngeles
Indicates the measured or calculated distance between a given entity’s location and the city of Los Angeles.
-
B.
distanceFromLosAngeles
Indicates the measured or specified distance between a given entity’s location and the city of Los Angeles.
-
C.
drivingTimeFromNewYorkCity
Indicates the amount of time it takes to drive from New York City to a specified location.
-
D.
approximateDrivingTimeFromLAnse
Indicates the estimated amount of time it takes to drive from L'Anse to another specified location.
-
E.
distanceFromSanFrancisco
Indicates the measured distance between a given entity’s location and the city of San Francisco.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd87185f788190bd5244a1f7dbb5c8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd853005088190b1b092a9beb090b2 |
completed | March 20, 2026, 5:34 p.m. |
Created at: March 20, 2026, 2:04 p.m.