Triple
T24278227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chumphon Pinnacle |
E605467
|
entity |
| Predicate | hasApproximateBoatTravelTimeFromKoTao |
P70601
|
FINISHED |
| Object | about 30–45 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 30–45 minutes | Statement: [Chumphon Pinnacle, hasApproximateBoatTravelTimeFromKoTao, about 30–45 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateBoatTravelTimeFromKoTao Context triple: [Chumphon Pinnacle, hasApproximateBoatTravelTimeFromKoTao, about 30–45 minutes]
-
A.
hasNearbyFerryPort
Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
-
B.
travelTimeByFerry
chosen
Indicates the duration required to travel between two locations specifically using a ferry as the mode of transportation.
-
C.
hasNearbyFerryRoute
Indicates that there is a ferry route located close to the referenced entity.
-
D.
hasRiverCrossingNearby
Indicates that there is a river crossing located in close proximity to the referenced entity or location.
-
E.
approximateBoatTravelTimeFromKarwar
Indicates the estimated duration it takes to travel by boat from Karwar to another specified location.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d60a454819093b46556966640ab |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.