Triple
T24963885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haad Yuan |
E624683
|
entity |
| Predicate | distanceToHaadRinByBoat |
P165079
|
FINISHED |
| Object | approximately 10–20 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: approximately 10–20 minutes | Statement: [Haad Yuan, distanceToHaadRinByBoat, approximately 10–20 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHaadRinByBoat Context triple: [Haad Yuan, distanceToHaadRinByBoat, approximately 10–20 minutes]
-
A.
travelTimeByBoat
chosen
Indicates the amount of time it takes to travel between two locations specifically when using a boat as the mode of transportation.
-
B.
distanceFromHatYai
Indicates the measured distance between a given entity or location and Hat Yai.
-
C.
distanceFromPundaquitByBoat
Indicates the distance required to travel by boat from Pundaquit to another location.
-
D.
distanceFromPhuket
Indicates the measured distance between a given entity or location and Phuket.
-
E.
distanceFromPattaya
Indicates the spatial distance between a given place or object and the location of Pattaya.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 18, 2026, 5:59 a.m.