Triple
T31912642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 86 in New York |
E814727
|
entity |
| Predicate | isNumberReusedFrom |
P91997
|
FINISHED |
| Object | former Interstate 86 in Idaho and Utah |
—
|
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: former Interstate 86 in Idaho and Utah | Statement: [Interstate 86 in New York, isNumberReusedFrom, former Interstate 86 in Idaho and Utah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberReusedFrom Context triple: [Interstate 86 in New York, isNumberReusedFrom, former Interstate 86 in Idaho and Utah]
-
A.
isReuseOf
Indicates that one entity is derived from, or created by reusing, the content, structure, or components of another entity.
-
B.
previouslyUsedNumberDesignationsUntil
Indicates that certain number designations were used for an entity up until a specified point in time, after which they were no longer in use.
-
C.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
D.
reusedIn
chosen
Indicates that something previously used in one context or instance is used again in another context or instance.
-
E.
notReusedFor
Indicates that something is not used again for a subsequent purpose, context, or instance.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1bb923881909dd346a3739c91c8 |
completed | May 3, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, 12:01 a.m.