Triple
T12622049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Street and Sierra Madre Boulevard, Pasadena |
E301404
|
entity |
| Predicate | paradeFrequency |
P62376
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Villa Street and Sierra Madre Boulevard, Pasadena, paradeFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paradeFrequency Context triple: [Villa Street and Sierra Madre Boulevard, Pasadena, paradeFrequency, annual]
-
A.
paradeIn
Indicates that an entity participates in or moves as part of a parade occurring at a specified place or time.
-
B.
paradeState
Indicates that an entity is currently participating in, associated with, or in the condition of being part of a parade.
-
C.
mainParade
Indicates the relationship where an event or entity serves as the primary or central parade associated with a given context or occasion.
-
D.
carnivalFrequency
chosen
Indicates how often a carnival event occurs within a given time period.
-
E.
paradeDate
Indicates the calendar date on which a parade is scheduled to occur or took place.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:14 p.m.