Triple
T7789371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phang Nga |
E187336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Thai Mueang |
E688031
|
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: Thai Mueang | Statement: [Phang Nga, contains, Thai Mueang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thai Mueang Context triple: [Phang Nga, contains, Thai Mueang]
-
A.
Thai Mueang
chosen
Thai Mueang is a coastal town in southern Thailand known for its beaches and proximity to national parks and marine attractions.
-
B.
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.
-
C.
Ratchaburi
Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
-
D.
Chachoengsao
Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
-
E.
Lamphun
Lamphun is a historic provincial capital in northern Thailand, known for its ancient Hariphunchai kingdom heritage and well-preserved temples.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf62c8568819090c058b0c55b7865 |
completed | March 30, 2026, 10:16 p.m. |
Created at: March 30, 2026, 4:25 p.m.