Triple
T5457386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Churchill |
E122512
|
entity |
| Predicate | associatedWithRoute |
P30193
|
FINISHED |
| Object | Pony Express route |
—
|
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: Pony Express route | Statement: [Fort Churchill, associatedWithRoute, Pony Express route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRoute Context triple: [Fort Churchill, associatedWithRoute, Pony Express route]
-
A.
associatedWithRouteNetwork
chosen
Indicates a relationship where something is linked or connected to a specific route network.
-
B.
associatedWithRule
Indicates that an entity is linked or connected to a specific rule, such as being governed, constrained, or defined by that rule.
-
C.
associatedWithAction
Indicates a general relationship where an entity is linked or connected to a particular action, without specifying the nature or direction of that involvement.
-
D.
associatedWithDirection
Indicates that something has a relationship to, or is characterized by, a particular spatial or directional orientation.
-
E.
associatedWithClass
Indicates that an entity has a connection or linkage to a particular class or category, without specifying the exact nature of that relationship.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.