Triple
T16252939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khao Lak |
E394556
|
entity |
| Predicate | bestTravelTime |
P122349
|
FINISHED |
| Object | November to April |
—
|
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: November to April | Statement: [Khao Lak, bestTravelTime, November to April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestTravelTime Context triple: [Khao Lak, bestTravelTime, November to April]
-
A.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
B.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
C.
plannedTransit
Indicates that a transit or trip has been scheduled or arranged to occur, but has not yet taken place.
-
D.
transportProject
Indicates a project whose primary purpose is to plan, build, improve, or manage transportation systems, services, or infrastructure.
-
E.
reducedTravelTimeFrom
Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24597b74481908fdb8175628a57a1 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.