Triple
T7677073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Triangle region |
E173888
|
entity |
| Predicate | notableTown |
P14082
|
FINISHED |
| Object | Mae Sai |
E173886
|
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 Sai | Statement: [Golden Triangle region, notableTown, Mae Sai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mae Sai Context triple: [Golden Triangle region, notableTown, Mae Sai]
-
A.
Mae Sai
chosen
Mae Sai is a northern Thai town in Chiang Rai Province known as a major border crossing and trading hub with Myanmar.
-
B.
Taunggyi
Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
-
C.
Tachileik
Tachileik is a town in eastern Myanmar’s Shan State, situated on the border with Thailand and serving as a major cross-border trade and travel gateway.
-
D.
Myanmar–China border
The Myanmar–China border is an international boundary running through rugged, ethnically diverse highlands in Southeast Asia, serving as a key corridor for trade, migration, and strategic influence between the two countries.
-
E.
Thai–Myanmar border
The Thai–Myanmar border is a long, often porous frontier region marked by ethnic diversity, conflict-driven displacement, and extensive humanitarian and refugee activities.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fbb4788190adf1e2d39be358c1 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9af1c081908b0e100390258eaa |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:01 p.m.