Triple
T3939545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West-Northwest Route |
E91999
|
entity |
| Predicate | colorAssociatedAfterRenaming |
P50576
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [West-Northwest Route, colorAssociatedAfterRenaming, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorAssociatedAfterRenaming Context triple: [West-Northwest Route, colorAssociatedAfterRenaming, blue]
-
A.
renamedToColor
chosen
Indicates that an entity has been renamed such that its new name corresponds to or is based on a color.
-
B.
renamedDueTo
Indicates that one entity was renamed as a consequence of another specified cause, event, or condition.
-
C.
changedNameIn
Indicates that an entity has altered or adopted a different name within a specific context, time period, or jurisdiction.
-
D.
legalStatusAfterRenaming
Indicates the legal status or classification that applies to an entity after it has undergone a renaming.
-
E.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.