Triple
T29135646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation Federation |
E738505
|
entity |
| Predicate | keyWorld |
P166355
|
FINISHED |
| Object | Terminus |
—
|
NE NERFINISHED |
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: Terminus | Statement: [Foundation Federation, keyWorld, Terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyWorld Context triple: [Foundation Federation, keyWorld, Terminus]
-
A.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
B.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
-
C.
worldAssociation
Indicates a broad, often global-level connection or affiliation between entities, such as membership, involvement, or linkage within a worldwide context.
-
D.
keyCountryInArgument
Indicates that a particular country plays a central or decisive role within the context of a given argument or reasoning.
-
E.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6626ac7508190959be92ac34c33ac |
completed | May 2, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:34 a.m.