Triple
T8255448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Overland Limited |
E193059
|
entity |
| Predicate | laterPoweredBy |
P81224
|
FINISHED |
| Object | diesel locomotive |
—
|
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: diesel locomotive | Statement: [San Francisco Overland Limited, laterPoweredBy, diesel locomotive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterPoweredBy Context triple: [San Francisco Overland Limited, laterPoweredBy, diesel locomotive]
-
A.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
-
B.
socialMediaPlatformLed
Indicates that one entity has taken a leadership or primary driving role in the development, direction, or success of a social media platform.
-
C.
laterPlatform
Indicates that one entity occurs, appears, or is positioned on a platform that comes after another platform in time or sequence.
-
D.
alsoHosted
Indicates that the subject entity, in addition to others, served as a host for the same event or activity.
-
E.
mediaAffiliate
Indicates a relationship where one media entity is affiliated with, partnered to, or formally associated with another media organization or outlet.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f9f680819088f1d56e0f98974f |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.