Triple
T31836745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition 56 |
E812693
|
entity |
| Predicate | crewMemberNationality |
P85192
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Expedition 56, crewMemberNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewMemberNationality Context triple: [Expedition 56, crewMemberNationality, American]
-
A.
hasCrewNationality
chosen
Indicates that the members of a crew possess a specified nationality.
-
B.
nationalityOfPersonnel
Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
-
C.
nationalityOfPersonReferredTo
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
D.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
E.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aff30e808190baf3dc1eee061c55 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:48 p.m.