Triple
T26183326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 275 (Michigan) |
E654747
|
entity |
| Predicate | hasSpurOf |
P3377
|
FINISHED |
| Object | Interstate 75 |
—
|
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: Interstate 75 | Statement: [Interstate 275 (Michigan), hasSpurOf, Interstate 75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpurOf Context triple: [Interstate 275 (Michigan), hasSpurOf, Interstate 75]
-
A.
isSpurOf
chosen
Indicates that one entity is a secondary offshoot, branch, or derivative extension originating from another primary entity.
-
B.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
C.
hasSpines
Indicates that one entity possesses or is characterized by spines or spine-like structures.
-
D.
hasNectarSpur
Indicates that one entity possesses a nectar spur, typically a tubular or elongated floral structure that contains or produces nectar.
-
E.
hasGraspingSpinesOn
Indicates that one entity possesses grasping spines located on a specified part or surface of 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 26, 2026, 8:41 p.m.