Triple
T23201468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Beach (Phi Phi Islands) |
E580322
|
entity |
| Predicate | transportHubForVisitors |
P151328
|
FINISHED |
| Object | Phi Phi Don main pier |
—
|
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: Phi Phi Don main pier | Statement: [Monkey Beach (Phi Phi Islands), transportHubForVisitors, Phi Phi Don main pier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportHubForVisitors Context triple: [Monkey Beach (Phi Phi Islands), transportHubForVisitors, Phi Phi Don main pier]
-
A.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
-
B.
transportHubScope
Indicates the extent or range of areas, routes, or services that a particular transport hub covers or connects.
-
C.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
D.
visitorInformation
Indicates that information or details are provided for or about visitors in relation to a particular place, service, or event.
-
E.
transportHubCity
Indicates that a city functions as a central node or hub for transportation networks or services.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19079c44881909e8677921b08b931 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:06 p.m.