Triple
T26821640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koh Samet |
E675260
|
entity |
| Predicate | hasTransportOnIsland |
P62151
|
FINISHED |
| Object | songthaews |
—
|
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: songthaews | Statement: [Koh Samet, hasTransportOnIsland, songthaews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportOnIsland Context triple: [Koh Samet, hasTransportOnIsland, songthaews]
-
A.
mainTransportOnIsland
chosen
Indicates that a given mode of transport is the primary or most commonly used means of transportation on a particular island.
-
B.
hasIslandTerminus
Indicates that something (such as a route, line, or connection) ends or terminates on an island.
-
C.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
D.
hasGroundTransportation
Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
-
E.
hasIslandConnection
Indicates that there exists a connection or link between entities that specifically involves or passes through an island.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 27, 2026, 4:55 a.m.