Triple
T6462544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Thumb (locomotive) |
E142154
|
entity |
| Predicate | mechanicalFailure |
P33346
|
FINISHED |
| Object | belt or blower failure during race |
—
|
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: belt or blower failure during race | Statement: [Tom Thumb (locomotive), mechanicalFailure, belt or blower failure during race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mechanicalFailure Context triple: [Tom Thumb (locomotive), mechanicalFailure, belt or blower failure during race]
-
A.
mechanicalDurability
Indicates the ability of something to withstand mechanical forces, stresses, or wear without failing or degrading.
-
B.
missionFailure
Indicates that an attempted mission or operation did not achieve its intended objectives or outcome.
-
C.
fault
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
D.
degradationMechanism
chosen
Indicates the process or mechanism by which something deteriorates, breaks down, or loses its original quality or function over time.
-
E.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f7e5908190ae4d8da2b14d274f |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.