Triple
T15404029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 190 (Illinois) |
E368401
|
entity |
| Predicate | isShortestNumberedInterstateInIllinois |
P118657
|
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 190 (Illinois), isShortestNumberedInterstateInIllinois, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortestNumberedInterstateInIllinois Context triple: [Interstate 190 (Illinois), isShortestNumberedInterstateInIllinois, true]
-
A.
isShortestInterstateInNewYork
Indicates that the subject interstate is the shortest interstate highway located within the state of New York.
-
B.
isHighestNumberedInterstateInUnitedStates
Indicates that the subject interstate has the highest route number of all interstate highways in the United States.
-
C.
nearestInterstateHighway
Indicates that one interstate highway is the closest in distance to a given location or route compared to all other interstate highways.
-
D.
UShighwayNumber
Indicates that a U.S. highway is identified by a specific route number.
-
E.
primaryInterstateHighway
Indicates that the subject is designated as a primary (main) interstate highway within the interstate highway system.
- F. None of above. chosen
Provenance (4 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:19 a.m.