Triple
T13047447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittraphap Road |
E327359
|
entity |
| Predicate | passesNearCity |
P3945
|
FINISHED |
| Object | Saraburi |
E928181
|
NE 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: Saraburi | Statement: [Mittraphap Road, passesNearCity, Saraburi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraburi Context triple: [Mittraphap Road, passesNearCity, Saraburi]
-
A.
Ratchaburi
Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
-
B.
Saraburi Province
chosen
Saraburi Province is a central Thai province known as a transportation hub and gateway to the northeastern region, featuring industrial zones, historical temples, and natural attractions.
-
C.
Phetchaburi
Phetchaburi is a historic city in western Thailand known for its ancient temples, royal palaces, and proximity to coastal and mountainous attractions.
-
D.
Lamphun
Lamphun is a historic provincial capital in northern Thailand, known for its ancient Hariphunchai kingdom heritage and well-preserved temples.
-
E.
Chachoengsao
Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9805125e481908ed56f708de98a9e |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967a96708190b8688e84fdb270b0 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 9, 2026, 8:57 p.m.