Triple
T29771878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac-Mégantic |
E755269
|
entity |
| Predicate | railDisasterEnvironmentalImpact |
P124172
|
FINISHED |
| Object | major oil spill |
—
|
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: major oil spill | Statement: [Lac-Mégantic, railDisasterEnvironmentalImpact, major oil spill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railDisasterEnvironmentalImpact Context triple: [Lac-Mégantic, railDisasterEnvironmentalImpact, major oil spill]
-
A.
railDisasterCasualties
Indicates the number of people killed or injured as a result of a specific rail disaster.
-
B.
railDisasterYear
Indicates the year in which a rail-related disaster occurred.
-
C.
impactOfDisasters
chosen
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
D.
numberOfCarsDerailed
Indicates the count of cars that have come off the tracks in a derailment incident.
-
E.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 8:43 p.m.