Triple
T7789369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phang Nga |
E187336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Khao Lak |
E394556
|
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: Khao Lak | Statement: [Phang Nga, contains, Khao Lak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khao Lak Context triple: [Phang Nga, contains, Khao Lak]
-
A.
Khao Lak
chosen
Khao Lak is a coastal resort area in southern Thailand known for its tranquil beaches, proximity to national parks, and devastation during the 2004 Indian Ocean tsunami.
-
B.
Lamphun
Lamphun is a historic provincial capital in northern Thailand, known for its ancient Hariphunchai kingdom heritage and well-preserved temples.
-
C.
Phitsanulok
Phitsanulok is a historic provincial city in northern Thailand known as a regional transport hub and home to the revered Wat Phra Si Rattana Mahathat temple.
-
D.
Chiang Rai
Chiang Rai is a culturally rich city in far northern Thailand, known for its temples, hill-tribe communities, and role as a gateway to the Golden Triangle region.
-
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_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_69cb139fdf188190b1c80dd6d008c34d |
completed | March 31, 2026, 12:21 a.m. |
Created at: March 30, 2026, 4:25 p.m.