Triple
T250592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai baht |
E5137
|
entity |
| Predicate | isoCode |
P189
|
FINISHED |
| Object | THB |
E5137
|
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: THB | Statement: [Thai baht, isoCode, THB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: THB Context triple: [Thai baht, isoCode, THB]
-
A.
Thai baht
chosen
The Thai baht is the official currency of Thailand, notable for its central role in triggering the 1997 Asian financial crisis after a sharp devaluation.
-
B.
Malaysian ringgit
The Malaysian ringgit is the official currency of Malaysia, known for having been heavily affected by and subsequently managed through capital controls during the Asian financial crisis of 1997–1998.
-
C.
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.
-
D.
Thai
Thai is the official national language of Thailand, belonging to the Tai-Kadai language family and written in its own unique script.
-
E.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d38aba8819081d0958eb60ce27e |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37373426881909ce8766ad9c5778c |
completed | Feb. 28, 2026, 11 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.