Triple
T250678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican peso crisis of 1994 |
E5138
|
entity |
| Predicate | bailoutAmount |
P432
|
FINISHED |
| Object | approximately 50 billion US dollars |
—
|
LITERAL 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: approximately 50 billion US dollars | Statement: [Mexican peso crisis of 1994, bailoutAmount, approximately 50 billion US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bailoutAmount Context triple: [Mexican peso crisis of 1994, bailoutAmount, approximately 50 billion US dollars]
-
A.
notableBailout
Indicates that one entity has provided a bailout to another that is considered especially significant or noteworthy in scale, impact, or public attention.
-
B.
totalAidAmountUSD
chosen
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
C.
totalAidAmountAdjusted
Indicates the total amount of aid provided, after applying any relevant adjustments such as corrections, discounts, or recalculations.
-
D.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
-
E.
canDelayMoneyBillsFor
Indicates that one entity has the authority or ability to postpone or extend the payment deadline of money-related bills for another entity.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.