Triple
T7676901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mae Sot |
E173883
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tak province |
E669221
|
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: Tak province | Statement: [Mae Sot, locatedIn, Tak province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tak province Context triple: [Mae Sot, locatedIn, Tak province]
-
A.
Tak province
chosen
Tak province is a mountainous and forested region in western Thailand, known for its border with Myanmar, scenic national parks, and the gateway town of Mae Sot.
-
B.
Pernik Province
Pernik Province is a region in western Bulgaria known for its industrial heritage and proximity to the capital, Sofia.
-
C.
Hither Province
Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
-
D.
Chota Province
Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
-
E.
Oruzgan Province
Oruzgan Province is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in Afghanistan’s recent conflicts.
- 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.