Triple
T7490450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Thailand |
E176992
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Mae Hong Son |
E177830
|
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: Mae Hong Son | Statement: [Northern Thailand, majorCity, Mae Hong Son]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mae Hong Son Context triple: [Northern Thailand, majorCity, Mae Hong Son]
-
A.
Mae Hong Son Province
chosen
Mae Hong Son Province is a mountainous, remote region in northern Thailand known for its significant Karen population, misty landscapes, and forested border with Myanmar.
-
B.
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.
-
C.
Chiang Mai
Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
-
D.
Khao Lak
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.
-
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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55bdb3481908653b46eafba011d |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84eefbcec8190bef282452aaf5515 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:43 p.m.