Triple
T37104531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shapiro delay |
E918804
|
entity |
| Predicate | effectOnTravelTime |
P3830
|
FINISHED |
| Object | increases travel time compared to flat spacetime |
—
|
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: increases travel time compared to flat spacetime | Statement: [Shapiro delay, effectOnTravelTime, increases travel time compared to flat spacetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTravelTime Context triple: [Shapiro delay, effectOnTravelTime, increases travel time compared to flat spacetime]
-
A.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
B.
transportationImpact
chosen
Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
-
C.
travelTimeAdvantage
Indicates that one option provides a shorter or more favorable travel time compared to another.
-
D.
effectOnRouting
Indicates how one factor or condition influences or alters the routing behavior or path selection in a system.
-
E.
previousTravelTimeOnRoute
Indicates the duration of travel that occurred earlier on the same route before the current segment or time 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 3, 2026, 4:14 p.m.