Triple
T26529686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition 64 |
E670784
|
entity |
| Predicate | includedJapaneseCrewMembers |
P193239
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Expedition 64, includedJapaneseCrewMembers, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedJapaneseCrewMembers Context triple: [Expedition 64, includedJapaneseCrewMembers, 1]
-
A.
includedRussianCrewMembers
Indicates that the subject entity had Russian crew members among the people included in its crew.
-
B.
includedUSCrewMembers
Indicates that the subject entity had U.S. crew members counted as part of its personnel or participants.
-
C.
intendedCrew
Indicates that an entity is designated or planned to serve as the crew for another entity (such as a vehicle, mission, or operation).
-
D.
hasCrewNationality
Indicates that the members of a crew possess a specified nationality.
-
E.
involvedShipJapan
Indicates that a ship associated with Japan was involved in the referenced event or activity.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 27, 2026, 1:34 a.m.