Triple
T7676978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mae Sai |
E173886
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mae Sai District |
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 District | Statement: [Mae Sai, locatedIn, Mae Sai District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mae Sai District Context triple: [Mae Sai, locatedIn, Mae Sai District]
-
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.
Longtan District
Longtan District is a suburban district in southern Taoyuan City, Taiwan, known for its scenic lake, Hakka culture, and technology and military research facilities.
-
C.
Sam Ngao District
Sam Ngao District is an administrative district (amphoe) in western Thailand known for its rural communities and location within Tak Province near the Burmese border.
-
D.
Lashio District
Lashio District is an administrative district in northern Shan State, Myanmar, centered around the town of Lashio as its principal urban and economic hub.
-
E.
Taunggyi
Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
- 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_69c8a240057081908826a5371ef5215b |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.