Triple
T7696594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of Thailand |
E174385
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | BOT |
E174385
|
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: BOT | Statement: [Bank of Thailand, abbreviation, BOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BOT Context triple: [Bank of Thailand, abbreviation, BOT]
-
A.
BOT
chosen
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
B.
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
C.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
D.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
E.
Bo
Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70267dab88190ac8e3f643343bf13 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acaee2c481909efa30125e8ca890 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:03 p.m.