Triple
T19175486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Camp Fire |
E469426
|
entity |
| Predicate | mostDestructiveWildfireIn |
P87239
|
FINISHED |
| Object | California history |
—
|
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: California history | Statement: [2018 Camp Fire, mostDestructiveWildfireIn, California history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostDestructiveWildfireIn Context triple: [2018 Camp Fire, mostDestructiveWildfireIn, California history]
-
A.
majorFireDate
Indicates the date on which a major fire event occurred.
-
B.
wildfireRisk
Indicates the likelihood or potential severity of wildfires occurring in a given area or under specific conditions.
-
C.
worstNaturalDisasterIn
chosen
Indicates that a particular natural disaster is the most severe or damaging one that has occurred within a specified location or region.
-
D.
methodOfKillingWildfire
Indicates the method or technique used to kill or extinguish a wildfire.
-
E.
notableFire
Indicates that a significant or historically important fire event is associated with the subject.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f166d3888190adaf6dc8531a8ed1 |
completed | April 20, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.