Triple
T24762616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Historic Parkway |
E619488
|
entity |
| Predicate | appliesToSegmentOf |
P143010
|
FINISHED |
| Object | State Route 110 between Pasadena and Los Angeles |
—
|
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: State Route 110 between Pasadena and Los Angeles | Statement: [California Historic Parkway, appliesToSegmentOf, State Route 110 between Pasadena and Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToSegmentOf Context triple: [California Historic Parkway, appliesToSegmentOf, State Route 110 between Pasadena and Los Angeles]
-
A.
appliesToSegment
chosen
Indicates that something is relevant or specifically directed toward a particular segment or subset within a larger whole.
-
B.
appliesToSegmentType
Indicates that a rule, condition, or operation is specifically associated with and relevant to a particular type of segment.
-
C.
appliesToSectionOf
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
-
D.
appearsInSegmentOf
Indicates that one entity occurs within, or is featured as part of, a specific segment or subsection of another entity.
-
E.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:27 a.m.