Triple
T3035084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | transcontinental telegraph |
E82988
|
entity |
| Predicate | lineRoute |
P24772
|
FINISHED |
| Object | Missouri River to the Pacific Coast |
—
|
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: Missouri River to the Pacific Coast | Statement: [transcontinental telegraph, lineRoute, Missouri River to the Pacific Coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineRoute Context triple: [transcontinental telegraph, lineRoute, Missouri River to the Pacific Coast]
-
A.
lineName
Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
-
B.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
C.
routeBetween
chosen
Indicates that there exists a path or connection enabling travel or communication between two locations or points.
-
D.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
-
E.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2a40b48190bfa7cdbb0fbd87f8 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.