Triple
T27296060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 990 |
E688766
|
entity |
| Predicate | highestNumberedInterstate |
P55840
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Interstate 990, highestNumberedInterstate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestNumberedInterstate Context triple: [Interstate 990, highestNumberedInterstate, true]
-
A.
isHighestNumberedInterstateInUnitedStates
chosen
Indicates that the subject interstate has the highest route number of all interstate highways in the United States.
-
B.
primaryInterstateHighway
Indicates that the subject is designated as a primary (main) interstate highway within the interstate highway system.
-
C.
UShighwayNumber
Indicates that a U.S. highway is identified by a specific route number.
-
D.
highwayNumberingSystem
Indicates a system that assigns and organizes numerical designations to highways within a road network.
-
E.
nationalHighwayNetworkState
Indicates that a state is part of, or associated with, the national highway network.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 11:18 a.m.