Triple
T9942096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chonburi Province |
E194107
|
entity |
| Predicate | containsTouristDestination |
P5121
|
FINISHED |
| Object | Sattahip |
E711978
|
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: Sattahip | Statement: [Chonburi Province, containsTouristDestination, Sattahip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sattahip Context triple: [Chonburi Province, containsTouristDestination, Sattahip]
-
A.
Sattahip
Sattahip is a coastal district in Chonburi Province, Thailand, known for its naval base, beaches, and proximity to major tourist destinations like Pattaya.
-
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.
Hat Yai
Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
-
D.
Sattahip District
chosen
Sattahip District is a coastal district in Chonburi Province, Thailand, known for its naval base, beaches, and proximity to major tourist destinations like Pattaya.
-
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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269e28f0081908244f9f469b15ec1 |
completed | April 5, 2026, 1:55 p.m. |
Created at: March 30, 2026, 8:44 p.m.