Triple
T16245513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Pacific City of San Francisco |
E394360
|
entity |
| Predicate | introducedAsStreamliner |
P122327
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Union Pacific City of San Francisco, introducedAsStreamliner, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsStreamliner Context triple: [Union Pacific City of San Francisco, introducedAsStreamliner, 1936]
-
A.
introducedByProductLine
Indicates that one product line is responsible for introducing, launching, or bringing another product, feature, or offering into the market or portfolio.
-
B.
introducedAsPresidentialTransport
Indicates that something was formally presented or put into service in the role of transporting a president.
-
C.
introducedByAmtrak
Indicates that something (such as a service, policy, feature, or change) was initiated, launched, or brought into use by Amtrak.
-
D.
lineDesignationIntroducedBy
Indicates that a particular line designation was introduced or established by a specific agent or source.
-
E.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.