Triple
T398864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Central Transportation Company |
E9233
|
entity |
| Predicate | causeOfFailure |
P694
|
FINISHED |
| Object | mismanagement |
—
|
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: mismanagement | Statement: [Penn Central Transportation Company, causeOfFailure, mismanagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfFailure Context triple: [Penn Central Transportation Company, causeOfFailure, mismanagement]
-
A.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
fault
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
C.
typeOfFaulting
Indicates the kind or classification of geological faulting that characterizes the relationship between rock units or structures.
-
D.
hasCause
Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
-
E.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8d0ca881909d786e8eed9b6748 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.