Triple
T12622050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Street and Sierra Madre Boulevard, Pasadena |
E301404
|
entity |
| Predicate | paradeDatePattern |
P42010
|
FINISHED |
| Object | around New Year’s Day |
—
|
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: around New Year’s Day | Statement: [Villa Street and Sierra Madre Boulevard, Pasadena, paradeDatePattern, around New Year’s Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paradeDatePattern Context triple: [Villa Street and Sierra Madre Boulevard, Pasadena, paradeDatePattern, around New Year’s Day]
-
A.
paradeDate
chosen
Indicates the calendar date on which a parade is scheduled to occur or took place.
-
B.
paradeIn
Indicates that an entity participates in or moves as part of a parade occurring at a specified place or time.
-
C.
paradeState
Indicates that an entity is currently participating in, associated with, or in the condition of being part of a parade.
-
D.
dateNotation
Indicates how a date is written or formatted in notation (e.g., order and style of day, month, and year).
-
E.
paradeCity
Indicates the city where a parade takes place or is held.
- 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.