Triple
T21645618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münchenstein |
E534204
|
entity |
| Predicate | railDisasterYear |
P145365
|
FINISHED |
| Object | 1891 |
—
|
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: 1891 | Statement: [Münchenstein, railDisasterYear, 1891]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railDisasterYear Context triple: [Münchenstein, railDisasterYear, 1891]
-
A.
notableAccidentYear
Indicates the year in which a notable accident involving the subject occurred.
-
B.
aircraftAccidentYear
Indicates the calendar year in which an aircraft accident occurred.
-
C.
majorCrisisYear
Indicates the year in which a major crisis occurred or was most prominently manifested.
-
D.
deadliestRailAccidentInJapanSince
Indicates that a rail accident is the most lethal one in Japan occurring on or after a specified date or event.
-
E.
numberOfCarsDerailed
Indicates the count of cars that have come off the tracks in a derailment incident.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5394c570819081dbbe7e0f98f7d3 |
completed | April 27, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:35 p.m.