Triple
T15028860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedrógão Grande |
E378287
|
entity |
| Predicate | casualtiesIn2017Wildfires |
P104742
|
FINISHED |
| Object | more than 60 deaths |
—
|
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: more than 60 deaths | Statement: [Pedrógão Grande, casualtiesIn2017Wildfires, more than 60 deaths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesIn2017Wildfires Context triple: [Pedrógão Grande, casualtiesIn2017Wildfires, more than 60 deaths]
-
A.
wildfireRisk
Indicates the likelihood or potential severity of wildfires occurring in a given area or under specific conditions.
-
B.
methodOfKillingWildfire
Indicates the method or technique used to kill or extinguish a wildfire.
-
C.
bushfiresImpact
Indicates how bushfires affect or influence other entities, conditions, or outcomes.
-
D.
casualtiesEstimate
Indicates an estimated number of people killed, injured, or otherwise harmed as a result of an event or incident.
-
E.
numberOfVictimsConfirmed
chosen
Indicates the confirmed count of victims associated with an event, incident, or situation.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:58 a.m.