Triple
T27296069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 990 |
E688766
|
entity |
| Predicate | isShortestAuxiliaryOf |
P162639
|
FINISHED |
| Object | Interstate 90 in New York |
—
|
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 90 in New York | Statement: [Interstate 990, isShortestAuxiliaryOf, Interstate 90 in New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortestAuxiliaryOf Context triple: [Interstate 990, isShortestAuxiliaryOf, Interstate 90 in New York]
-
A.
isShortestStateSegmentOf
Indicates that one state segment is the minimal-length segment among all segments that could represent that same portion of a state or process.
-
B.
isShortenedVariantOf
Indicates that one form of an expression is a shortened or abbreviated version of another, longer form.
-
C.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
D.
isShortestLineInSystem
Indicates that a given line is the one with the minimum length among all lines in the system.
-
E.
isShortName
Indicates that one name is an abbreviated or shorter form of another name.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 11:18 a.m.