Triple
T1868534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jornada del Muerto desert |
E34977
|
entity |
| Predicate | transportRouteFunction |
P3034
|
FINISHED |
| Object | link between Rio Grande settlements |
—
|
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: link between Rio Grande settlements | Statement: [Jornada del Muerto desert, transportRouteFunction, link between Rio Grande settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportRouteFunction Context triple: [Jornada del Muerto desert, transportRouteFunction, link between Rio Grande settlements]
-
A.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
B.
routeBetween
Indicates that there exists a path or connection enabling travel or communication between two locations or points.
-
C.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
D.
transportCorridor
chosen
Indicates a route or pathway used to move people, goods, or resources between locations.
-
E.
routeOptimization
Indicates the process of determining the most efficient path or sequence of paths between locations according to specified criteria such as distance, time, or cost.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.