Triple
T1522459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai–Myanmar border |
E32258
|
entity |
| Predicate | hasCheckpoint |
P30109
|
FINISHED |
| Object | Ranong–Kawthaung crossing |
E177836
|
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: Ranong–Kawthaung crossing | Statement: [Thai–Myanmar border, hasCheckpoint, Ranong–Kawthaung crossing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranong–Kawthaung crossing Context triple: [Thai–Myanmar border, hasCheckpoint, Ranong–Kawthaung crossing]
-
A.
Thai–Myanmar Friendship Bridge
The Thai–Myanmar Friendship Bridge is an international bridge spanning the Moei River that serves as a major border crossing and trade route between Thailand and Myanmar.
-
B.
Mae Sai
Mae Sai is a northern Thai town in Chiang Rai Province known as a major border crossing and trading hub with Myanmar.
-
C.
Huta Pass
Huta Pass is a mountain pass located in the Beskid Sądecki range of the Western Carpathians in southern Poland.
-
D.
Kawthaung
chosen
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
-
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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61dc6ab881908b22aa7a5295bf21 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401616ec81908edd9dcb9f4a0184 |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:26 p.m.