Triple
T19595652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phra Ram |
E470340
|
entity |
| Predicate | veneratedIn |
P958
|
FINISHED |
| Object | Thailand |
—
|
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: Thailand | Statement: [Phra Ram, veneratedIn, Thailand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thailand Context triple: [Phra Ram, veneratedIn, Thailand]
-
A.
Thailand
chosen
Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
-
B.
Siam
Siam was the former name of the kingdom that occupied the area of modern-day Thailand until it officially adopted the name "Thailand" in the 20th century.
-
C.
Siam
Siam is a major commercial and transportation hub in central Bangkok, known for its large shopping complexes and role as a key interchange point in the city’s transit system.
-
D.
Saovabha Phongsri
Saovabha Phongsri was a queen consort of Siam (Thailand), noted as one of King Chulalongkorn’s principal wives and the mother of several future Thai kings.
-
E.
Myanmar and Thailand
Myanmar and Thailand are neighboring Southeast Asian countries that share a long land border, diverse cultures, and significant historical, economic, and geographic ties.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.