Triple
T26645236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chumphon Pier |
E668888
|
entity |
| Predicate | hasNearbyIslandDestination |
P101581
|
FINISHED |
| Object | Koh Tao |
—
|
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: Koh Tao | Statement: [Chumphon Pier, hasNearbyIslandDestination, Koh Tao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyIslandDestination Context triple: [Chumphon Pier, hasNearbyIslandDestination, Koh Tao]
-
A.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
-
B.
nearbyIslandDestination
chosen
Indicates that one location serves as an island destination situated a short distance away from another reference point or place.
-
C.
hasNearbyMainIsland
Indicates that one entity has a main island located in close geographic proximity to it.
-
D.
nearbyIslandConnection
Indicates a connection or link between islands that are geographically close to each other.
-
E.
hasNearbyArchipelagoArea
Indicates that one geographic area is located close to or adjacent to an archipelago area.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 27, 2026, 2:31 a.m.