Triple
T3045829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Days Marches |
E83443
|
entity |
| Predicate | attractsFrom |
P30111
|
FINISHED |
| Object | many countries worldwide |
—
|
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: many countries worldwide | Statement: [Four Days Marches, attractsFrom, many countries worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsFrom Context triple: [Four Days Marches, attractsFrom, many countries worldwide]
-
A.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
B.
attractsParticipantsFrom
chosen
Indicates that an event, activity, or organization draws or recruits participants originating from a specified place, group, or source.
-
C.
attractsTeamsFrom
Indicates that an entity draws or pulls in teams from another specified entity or location.
-
D.
attractionBasedOn
Indicates a relationship where one entity is drawn to or interested in another specifically because of certain attributes, qualities, or characteristics that the latter possesses.
-
E.
attractsAgeGroup
Indicates that something tends to draw interest or appeal from people belonging to a particular age group.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bab541c8190a17aca26b3dcfae7 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.