Triple
T37742213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir |
E940745
|
entity |
| Predicate | totalNumberOfCrewedExpeditions |
P46091
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Mir, totalNumberOfCrewedExpeditions, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfCrewedExpeditions Context triple: [Mir, totalNumberOfCrewedExpeditions, 28]
-
A.
numberOfExpeditions
chosen
Indicates the total count of expeditions associated with a given entity or context.
-
B.
numberOfMenOnExpedition
Indicates the count of male individuals participating in a given expedition.
-
C.
visitingExpeditionCrew
Indicates a relationship where a crew is temporarily present at a location or facility as a visiting expedition team, rather than being part of the resident or primary crew.
-
D.
madeExpeditionsTo
Indicates that an entity undertook one or more exploratory or travel expeditions to a specified destination or location.
-
E.
numberOfUncrewedMissions
Indicates the total count of missions carried out without any crew on board.
- 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_69f76ee0e32c8190b40a3b4cf590337c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:18 p.m.