Triple
T6314490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Railroad of New Jersey |
E141580
|
entity |
| Predicate | BlueCometType |
P70004
|
FINISHED |
| Object | luxury passenger train |
—
|
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: luxury passenger train | Statement: [Central Railroad of New Jersey, BlueCometType, luxury passenger train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BlueCometType Context triple: [Central Railroad of New Jersey, BlueCometType, luxury passenger train]
-
A.
isCometOf
Indicates that one entity is a comet that belongs to, or is associated with, another entity (such as a star system, galaxy, or celestial body).
-
B.
beamComposition
Indicates the constituent particles, materials, or components that make up a given beam.
-
C.
sporeType
Indicates the specific kind or category of spores associated with an entity.
-
D.
hasComet-likeOrbit
Indicates that an object's orbit shares key dynamical characteristics with those of comets, such as high eccentricity, inclination, or origin in cometary populations.
-
E.
spectacularCometOfCentury
Indicates that a comet is recognized as the most remarkable or noteworthy comet of the century.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:28 p.m.