Triple
T8816825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Bautista de Anza |
E209796
|
entity |
| Predicate | openedRoute |
P23654
|
FINISHED |
| Object | overland route from Sonora to Monterey |
—
|
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: overland route from Sonora to Monterey | Statement: [Juan Bautista de Anza, openedRoute, overland route from Sonora to Monterey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedRoute Context triple: [Juan Bautista de Anza, openedRoute, overland route from Sonora to Monterey]
-
A.
openedRouteThrough
chosen
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
B.
openedAsThroughRoute
Indicates that a route or service began operating as a continuous through connection, rather than as separate or terminating segments.
-
C.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
-
D.
openedAfter
Indicates that one entity was opened at a later time than another entity.
-
E.
openedInSection
Indicates that something was opened or initiated within a specific section or subsection of a larger structure or context.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600bd8a88190ad891a96201d796b |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.