Triple
T23974513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandra–Worli Sea Link |
E604324
|
entity |
| Predicate | shortensTravelTimeBetween |
P90509
|
FINISHED |
| Object | Bandra |
—
|
NE NERFINISHED |
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: Bandra | Statement: [Bandra–Worli Sea Link, shortensTravelTimeBetween, Bandra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortensTravelTimeBetween Context triple: [Bandra–Worli Sea Link, shortensTravelTimeBetween, Bandra]
-
A.
significantlyShortensRouteBetween
Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
-
B.
reducedTravelTimeFrom
chosen
Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
-
C.
connectsTravelBetween
Indicates a relationship where something (such as a route, service, or mode of transport) enables or provides travel between two locations.
-
D.
bestTravelTime
Indicates the most optimal duration or period required to travel between specified locations under given conditions.
-
E.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1de6ee081908590e438012e96bd |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:26 p.m.