Triple
T8479568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laem Chabang |
E200481
|
entity |
| Predicate | distanceFromBangkok_km |
P29501
|
FINISHED |
| Object | approximately 120 |
—
|
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 120 | Statement: [Laem Chabang, distanceFromBangkok_km, approximately 120]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBangkok_km Context triple: [Laem Chabang, distanceFromBangkok_km, approximately 120]
-
A.
distanceFromBangkok
chosen
Indicates the spatial distance between a given location and the city of Bangkok.
-
B.
distanceFromPattaya
Indicates the spatial distance between a given place or object and the location of Pattaya.
-
C.
distanceFromPattayaCityCentre
Indicates the measured distance between a given location and the central area of Pattaya City.
-
D.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
E.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5232d008190ae55b982f5fc9e8b |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.