Triple
T29771882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac-Mégantic |
E755269
|
entity |
| Predicate | railDisasterTrainOrigin |
P170434
|
FINISHED |
| Object | North Dakota |
—
|
NE NERFINISHED |
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: North Dakota | Statement: [Lac-Mégantic, railDisasterTrainOrigin, North Dakota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railDisasterTrainOrigin Context triple: [Lac-Mégantic, railDisasterTrainOrigin, North Dakota]
-
A.
railDisasterLedTo
Indicates that a specific rail disaster resulted in, caused, or gave rise to a particular subsequent event, consequence, or outcome.
-
B.
majorTrainOrigin
Indicates that a location serves as a primary starting point or origin for major train services or routes.
-
C.
railDisasterCasualties
Indicates the number of people killed or injured as a result of a specific rail disaster.
-
D.
railroadOrigin
Indicates that a railroad or rail line begins, originates, or has its starting point at a specified location or entity.
-
E.
railDisasterYear
Indicates the year in which a rail-related disaster occurred.
- F. None of above. chosen
Provenance (4 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_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 8:43 p.m.