Triple
T19013148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Order Unit |
E465276
|
entity |
| Predicate | typeOfEventManaged |
P134123
|
FINISHED |
| Object | political demonstrations |
—
|
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: political demonstrations | Statement: [Public Order Unit, typeOfEventManaged, political demonstrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEventManaged Context triple: [Public Order Unit, typeOfEventManaged, political demonstrations]
-
A.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
B.
typeOfEventForStart
Indicates the specific kind or category of event that marks the beginning of something.
-
C.
venueManaged
Indicates that one entity is responsible for operating, organizing, or overseeing the management of a particular venue.
-
D.
eventTypeOrganized
Indicates that an entity organized or arranged a specific type or category of event.
-
E.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a9bac8819093f9af57000667b0 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.