Triple
T32822976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | served by U.S. Route 64 |
E839480
|
entity |
| Predicate | isSubpropertyOf |
P70989
|
FINISHED |
| Object | served by U.S. Highway |
—
|
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: served by U.S. Highway | Statement: [served by U.S. Route 64, isSubpropertyOf, served by U.S. Highway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubpropertyOf Context triple: [served by U.S. Route 64, isSubpropertyOf, served by U.S. Highway]
-
A.
hasSubproperty
chosen
Indicates that one property is a more specific version of another property, inheriting its meaning and constraints.
-
B.
isSublabelOf
Indicates that one label is a more specific or subordinate label within the hierarchy of another label.
-
C.
isSubnetworkOf
Indicates that one network is a contained, subordinate, or component part of another, larger network.
-
D.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
E.
isSubclusterOf
Indicates that one cluster is a smaller, contained subset within a larger cluster.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:15 a.m.