Triple
T7952378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naklua |
E184646
|
entity |
| Predicate | positionRelativeToPattaya |
P79989
|
FINISHED |
| Object | northern part of Pattaya |
—
|
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: northern part of Pattaya | Statement: [Naklua, positionRelativeToPattaya, northern part of Pattaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToPattaya Context triple: [Naklua, positionRelativeToPattaya, northern part of Pattaya]
-
A.
distanceFromPattayaCityCentre
Indicates the measured distance between a given location and the central area of Pattaya City.
-
B.
distanceFromPattaya
Indicates the spatial distance between a given place or object and the location of Pattaya.
-
C.
distanceFromBangkok
Indicates the spatial distance between a given location and the city of Bangkok.
-
D.
distanceFromGeorgeTown
Indicates the measured spatial distance between a given location and George Town.
-
E.
positionRelativeToCoast
Indicates the spatial relationship of something to a coastline, such as its distance or orientation relative to the coast.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5c95908190b6ee900d2b324574 |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:10 p.m.