Triple
T16142678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rim Fire |
E391699
|
entity |
| Predicate | suppressionCost |
P92941
|
FINISHED |
| Object | over $125 million |
—
|
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 $125 million | Statement: [Rim Fire, suppressionCost, over $125 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppressionCost Context triple: [Rim Fire, suppressionCost, over $125 million]
-
A.
orderedSuppressionOf
Indicates that one entity has formally directed or mandated the suppression, restriction, or silencing of another entity or its actions.
-
B.
increasedCostFor
chosen
Indicates that one entity causes or experiences a rise in the cost associated with another entity or activity.
-
C.
suppressedIn
Indicates that one entity’s presence, activity, or expression is reduced, inhibited, or prevented by another entity or condition.
-
D.
suppressedOn
Indicates that one entity is intentionally prevented, hidden, or blocked from being shown, executed, or taking effect in the context of another entity.
-
E.
suppressedDuring
Indicates that one event, action, or state is actively prevented, inhibited, or held back while another specified event, condition, or time period is occurring.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9082588190bc7e6ff491f0d94e |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.