Triple
T18708340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Andrew |
E457431
|
entity |
| Predicate | damageCostAdjusted |
P66042
|
FINISHED |
| Object | over 50 billion USD (inflation-adjusted) |
—
|
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 50 billion USD (inflation-adjusted) | Statement: [Hurricane Andrew, damageCostAdjusted, over 50 billion USD (inflation-adjusted)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damageCostAdjusted Context triple: [Hurricane Andrew, damageCostAdjusted, over 50 billion USD (inflation-adjusted)]
-
A.
damageAdjusted
chosen
Indicates that the amount of damage has been modified from its original value, typically to account for mitigating or amplifying factors.
-
B.
damageAssessedBy
Indicates that the extent or nature of damage to something has been evaluated or determined by a particular agent or authority.
-
C.
damageLeadsTo
Indicates that one instance of damage causally results in or contributes to another specified outcome or condition.
-
D.
costImpact
Indicates the effect that one entity or action has on the cost associated with another entity or process.
-
E.
currencyOfDamageCost
Indicates the monetary currency in which a specified damage cost amount is expressed.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56719383481909d68c9e873ca0800 |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.