Triple
T20282115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devbagh Island |
E503173
|
entity |
| Predicate | approximateBoatTravelTimeFromKarwar |
P139532
|
FINISHED |
| Object | about 15 to 30 minutes |
—
|
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 15 to 30 minutes | Statement: [Devbagh Island, approximateBoatTravelTimeFromKarwar, about 15 to 30 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateBoatTravelTimeFromKarwar Context triple: [Devbagh Island, approximateBoatTravelTimeFromKarwar, about 15 to 30 minutes]
-
A.
distanceToSantiniketanKmApprox
Indicates an approximate distance, measured in kilometers, from a given entity to Santiniketan.
-
B.
distanceToKanyakumari
Indicates the spatial distance between a given location and Kanyakumari.
-
C.
approxDistanceInKilometersFromWandoorJetty
Indicates an approximate distance, measured in kilometers, between a subject entity and the Wandoor Jetty location.
-
D.
distanceFromPanaji
Indicates the spatial distance between a given location and the city of Panaji.
-
E.
distanceFromBengaluru
Indicates the measured spatial distance between a given entity’s location and the city of Bengaluru.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768f86448190842389a98b93a918 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 10:39 a.m.