Triple
T7732538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mun River |
E175295
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Nakhon Ratchasima |
E327354
|
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: Nakhon Ratchasima | Statement: [Mun River, hasCityOnBank, Nakhon Ratchasima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakhon Ratchasima Context triple: [Mun River, hasCityOnBank, Nakhon Ratchasima]
-
A.
Nakhon Ratchasima
chosen
Nakhon Ratchasima is a major city and provincial capital in northeastern Thailand, often considered the gateway to the Isan region.
-
B.
Ubon Ratchathani
Ubon Ratchathani is a major city in northeastern Thailand known for its rich Isan culture, Buddhist temples, and annual candle festival.
-
C.
Nong Khai
Nong Khai is a riverside town in northeastern Thailand on the Mekong River, known as a key gateway to Laos and the nearby capital city of Vientiane.
-
D.
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.
-
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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033863d881909451a4f9675021a3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91f4fb010819080ced464e4a71658 |
completed | March 29, 2026, 12:47 p.m. |
Created at: March 27, 2026, 4:06 p.m.