Triple
T15741217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Water |
E381605
|
entity |
| Predicate | exploresEventType |
P101970
|
FINISHED |
| Object | political scandal |
—
|
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 scandal | Statement: [Black Water, exploresEventType, political scandal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresEventType Context triple: [Black Water, exploresEventType, political scandal]
-
A.
appearsAtEventType
Indicates that an entity is present or participates in an event of a specified type.
-
B.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
C.
refersToEventType
chosen
Indicates that one entity references or is associated with a specific type or category of event.
-
D.
eventDescription
Indicates that a textual summary or explanation is provided describing what happens in the event.
-
E.
explorationType
Indicates the specific kind or category of exploration activity associated with an entity or 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.