Triple
T37647325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Road 55 |
E937074
|
entity |
| Predicate | servesAsHiddenDesignationFor |
P75661
|
FINISHED |
| Object | U.S. Route 19 |
—
|
NE NERFINISHED |
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: U.S. Route 19 | Statement: [State Road 55, servesAsHiddenDesignationFor, U.S. Route 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAsHiddenDesignationFor Context triple: [State Road 55, servesAsHiddenDesignationFor, U.S. Route 19]
-
A.
hasHiddenDesignationRole
Indicates that an entity holds a designation-related role that is concealed or not visible in the standard or public representation of roles.
-
B.
hasDesignationFor
Indicates that one entity assigns or holds a specific title, label, or formal designation for another entity.
-
C.
wasDesignatedBy
Indicates that an entity received an official status, role, or label as the result of a formal act or decision performed by another agent or authority.
-
D.
isDesignatedIn
Indicates that an entity is officially assigned, named, or recognized in a specific context, document, or jurisdiction.
-
E.
hasInternalDesignationFor
chosen
Indicates that one entity assigns or uses an internal label, code, or designation to refer to another entity.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0079e152648190a9da2add94fc1831 |
completed | May 10, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_6a0078f77f9c8190af357a6016a2bd53 |
completed | May 10, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:18 p.m.