Triple
T196021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rican Day Parade |
E3820
|
entity |
| Predicate | typeOfEvent |
P7504
|
FINISHED |
| Object | street parade |
—
|
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: street parade | Statement: [Puerto Rican Day Parade, typeOfEvent, street parade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEvent Context triple: [Puerto Rican Day Parade, typeOfEvent, street parade]
-
A.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
B.
eventRole
Indicates the specific function, capacity, or part an entity plays within an event or occurrence.
-
C.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
D.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
E.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
- F. None of above. chosen
Provenance (4 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25983b49c819080f7e161904c53da |
completed | Feb. 28, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69a25677da14819094cd02868fd30c83 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258b30f6c8190be2181f30c40e04d |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.