Triple
T945067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dialogue Concerning the Two Chief World Systems |
E20393
|
entity |
| Predicate | numberOfInterlocutors |
P1131
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Dialogue Concerning the Two Chief World Systems, numberOfInterlocutors, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInterlocutors Context triple: [Dialogue Concerning the Two Chief World Systems, numberOfInterlocutors, 3]
-
A.
hasApproximateTotalSpeakers
Indicates that an entity is associated with an estimated or roughly calculated number of total speakers, rather than an exact count.
-
B.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
C.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
-
D.
numberOfDelegates
Indicates the quantity of delegates associated with or assigned to a particular entity or event.
-
E.
numberOfRegularPanelists
Indicates the quantity of regular panelists associated with a given 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a3ed3881908386af140477c514 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.