Triple
T241554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Settlement Agreement |
E4941
|
entity |
| Predicate | estimatedTotalPayments |
P4259
|
FINISHED |
| Object | over 200 billion U.S. dollars over first 25 years |
—
|
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: over 200 billion U.S. dollars over first 25 years | Statement: [Master Settlement Agreement, estimatedTotalPayments, over 200 billion U.S. dollars over first 25 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedTotalPayments Context triple: [Master Settlement Agreement, estimatedTotalPayments, over 200 billion U.S. dollars over first 25 years]
-
A.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
B.
totalAidAmountAdjusted
Indicates the total amount of aid provided, after applying any relevant adjustments such as corrections, discounts, or recalculations.
-
C.
estimatedCost
chosen
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
D.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
E.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.