Triple
T14006561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X4 |
E336963
|
entity |
| Predicate | assemblyLocation |
P40
|
FINISHED |
| Object | Rayong, Thailand |
E673615
|
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: Rayong, Thailand | Statement: [BMW X4, assemblyLocation, Rayong, Thailand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayong, Thailand Context triple: [BMW X4, assemblyLocation, Rayong, Thailand]
-
A.
Rayong Province
chosen
Rayong Province is a coastal region in eastern Thailand known for its industrial hubs, seafood, and popular beach destinations such as Ko Samet.
-
B.
Korat, Thailand
Korat, Thailand—formally known as Nakhon Ratchasima—is a major city in northeastern Thailand that serves as a regional economic and transportation hub.
-
C.
Hat Yai
Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
-
D.
Phichit Province, Thailand
Phichit Province, Thailand is a predominantly rural province in central Thailand known for its agricultural economy, historical temples, and traditional festivals.
-
E.
Suphan Buri
Suphan Buri is a province in central Thailand known for its rich history, traditional culture, and agricultural landscapes.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca5fb48819090fff1fd22e8a15c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.