Triple
T15658990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of America branch on Laurel Canyon Boulevard |
E376520
|
entity |
| Predicate | associatedWithTypeOfEvent |
P38977
|
FINISHED |
| Object | bank robbery |
—
|
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: bank robbery | Statement: [Bank of America branch on Laurel Canyon Boulevard, associatedWithTypeOfEvent, bank robbery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTypeOfEvent Context triple: [Bank of America branch on Laurel Canyon Boulevard, associatedWithTypeOfEvent, bank robbery]
-
A.
associatedEventType
chosen
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
B.
refersToEventType
Indicates that one entity references or is associated with a specific type or category of event.
-
C.
appearsAtEventType
Indicates that an entity is present or participates in an event of a specified type.
-
D.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
-
E.
associatedWithEventHost
Indicates that an entity has a relationship or connection with the host of a particular event.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef3cb8c8190a10815b675b341c1 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.