Triple
T4446919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nam Ou |
E96310
|
entity |
| Predicate | basinCountry |
P411
|
FINISHED |
| Object | Laos |
E10737
|
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: Laos | Statement: [Nam Ou, basinCountry, Laos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laos Context triple: [Nam Ou, basinCountry, Laos]
-
A.
Laos
chosen
Laos is a landlocked Southeast Asian country known for its mountainous terrain, Buddhist culture, and status as one of the region’s least developed but rapidly reforming economies.
-
B.
Cambodia
Cambodia is a Southeast Asian nation known for its ancient Khmer civilization, the Angkor Wat temple complex, and a modern history marked by French colonial rule and the Khmer Rouge regime.
-
C.
Viet Nam
Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
-
D.
Thailand
Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
-
E.
Kambojas
The Kambojas were an ancient Indo-Iranian people mentioned in Indian and Persian sources, known for their warrior traditions and presence in regions around present-day Afghanistan and northwestern South Asia.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d31e10819086590b9f828d50b0 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62818295481909c0ffa377570effc |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:32 p.m.