Triple
T5401424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daily Bugle newsroom |
E120785
|
entity |
| Predicate | settingForEventType |
P34183
|
FINISHED |
| Object | editorial meetings |
—
|
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: editorial meetings | Statement: [Daily Bugle newsroom, settingForEventType, editorial meetings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingForEventType Context triple: [Daily Bugle newsroom, settingForEventType, editorial meetings]
-
A.
servesEventType
Indicates that an entity provides or supports a particular type or category of event.
-
B.
settingOfActivities
chosen
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
-
C.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
D.
establishedForEvent
Indicates that something (such as an organization, structure, or arrangement) was created or set up specifically for a particular event.
-
E.
supportedEvent
Indicates that an entity is capable of recognizing, handling, or being associated with a particular type of 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.