Triple
T19782469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atal Tunnel (Rohtang) |
E475171
|
entity |
| Predicate | reducesDistanceBetween |
P12934
|
FINISHED |
| Object | Manali and Keylong |
—
|
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: Manali and Keylong | Statement: [Atal Tunnel (Rohtang), reducesDistanceBetween, Manali and Keylong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducesDistanceBetween Context triple: [Atal Tunnel (Rohtang), reducesDistanceBetween, Manali and Keylong]
-
A.
significantlyShortensRouteBetween
chosen
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.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
C.
closerTo
Indicates that one entity is at a smaller distance to a reference entity than another entity is.
-
D.
reducedNumberOf
Indicates that the subject has a smaller quantity or count of the specified object or attribute compared to a prior state or reference level.
-
E.
reducedTravelTimeFrom
Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653852e848190b8971981a164e8f9 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.