Triple
T7732527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mun River |
E175295
|
entity |
| Predicate | regionDrained |
P59132
|
FINISHED |
| Object | Isan Plateau |
E327357
|
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: Isan Plateau | Statement: [Mun River, regionDrained, Isan Plateau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isan Plateau Context triple: [Mun River, regionDrained, Isan Plateau]
-
A.
Khorat Plateau
chosen
The Khorat Plateau is a large, elevated region in northeastern Thailand known for its agricultural landscapes and distinct geology.
-
B.
Langres Plateau
The Langres Plateau is a high limestone upland in northeastern France known as a major watershed that gives rise to several important rivers, including the Seine.
-
C.
Tây Nguyên
Tây Nguyên is a mountainous plateau region in central Vietnam known for its diverse ethnic minority communities, coffee production, and extensive forests.
-
D.
Bié Plateau
The Bié Plateau is a highland region in central Angola known for its elevated terrain and role as a major watershed that gives rise to several important rivers in southern Africa.
-
E.
Nimar plains
The Nimar plains are a fertile lowland region in southwestern Madhya Pradesh, India, known for their agricultural productivity and location along the Narmada River basin.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033863d881909451a4f9675021a3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b531a7f481908e4ff7f15b851070 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.