Triple
T3104277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korat, Thailand |
E64793
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Korat |
E64793
|
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: Korat | Statement: [Korat, Thailand, shortName, Korat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korat Context triple: [Korat, Thailand, shortName, Korat]
-
A.
Korat, Thailand
chosen
Korat, Thailand—formally known as Nakhon Ratchasima—is a major city in northeastern Thailand that serves as a regional economic and transportation hub.
-
B.
Pattani
Pattani is a historic coastal city in Thailand known for its Malay-Muslim cultural heritage and role as a regional trading and fishing center.
-
C.
Nakhon Si Thammarat
Nakhon Si Thammarat is a historic coastal city in southern Thailand known for its ancient temples, particularly Wat Phra Mahathat, and its role as a regional cultural and economic center.
-
D.
Lopburi
Lopburi is an ancient city in central Thailand known for its historical Mon and Khmer heritage, temple ruins, and large population of free-roaming macaque monkeys.
-
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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26f376c8190a049399e33314d52 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203846a108190a97c30c463e119b1 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:03 p.m.