Triple
T1706317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granma expedition |
E36879
|
entity |
| Predicate | participantCount |
P1131
|
FINISHED |
| Object | 82 |
—
|
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: 82 | Statement: [Granma expedition, participantCount, 82]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantCount Context triple: [Granma expedition, participantCount, 82]
-
A.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
userCount
Indicates the number of users associated with or involved in a given context or entity.
-
C.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
-
D.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
E.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.