Triple
T28841182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 493 |
E728317
|
entity |
| Predicate | followedByInNumbering |
P134912
|
FINISHED |
| Object | Interstate 494 |
—
|
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 494 | Statement: [Interstate 493, followedByInNumbering, Interstate 494]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByInNumbering Context triple: [Interstate 493, followedByInNumbering, Interstate 494]
-
A.
followsNumbering
chosen
Indicates that one entity adheres to or continues the numbering sequence established by another entity.
-
B.
followedByInSequence
Indicates that one event or element directly succeeds another in an ordered sequence.
-
C.
followedByClass
Indicates that one class or type is immediately succeeded by another class or type in a defined sequence or ordering.
-
D.
followedByComponent
Indicates that one component directly succeeds another component in a defined sequence or order.
-
E.
followedByInPositionHierarchy
Indicates that one position directly succeeds another in an ordered hierarchy of positions.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 28, 2026, 6:40 a.m.