Triple
T17799921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oudomxay Province |
E444393
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Muang Houn |
—
|
NE NERFINISHED |
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: Muang Houn | Statement: [Oudomxay Province, containsSettlement, Muang Houn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muang Houn Context triple: [Oudomxay Province, containsSettlement, Muang Houn]
-
A.
Muang Khoun
chosen
Muang Khoun is a historic town in northern Laos that once served as the royal and administrative center of the Phuan kingdom and remains known for its ancient temples and war-scarred heritage.
-
B.
Muang Kham
Muang Kham is a small town in northeastern Laos known as a gateway to the Plain of Jars and surrounding mountainous countryside.
-
C.
Muang Beng
Muang Beng is a district-level settlement in northern Laos, located within Oudomxay Province.
-
D.
Muang La
Muang La is a rural district and settlement in northern Laos known for its scenic river valley, hot springs, and traditional ethnic minority villages.
-
E.
Maha Sarakham
Maha Sarakham is a provincial capital city in northeastern Thailand known as an educational hub with several universities and colleges.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.