Triple
T662955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pony Express |
E11796
|
entity |
| Predicate | usedTransport |
P11571
|
FINISHED |
| Object | horseback riders |
—
|
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: horseback riders | Statement: [Pony Express, usedTransport, horseback riders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTransport Context triple: [Pony Express, usedTransport, horseback riders]
-
A.
usesTransport
chosen
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
B.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
-
C.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
D.
usedToNavigate
Indicates that one entity served as a means or tool for another entity to find or follow a route or direction.
-
E.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd081e8819097f289961f5eff29 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.