Triple
T7918790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarya |
E183891
|
entity |
| Predicate | firstISSModule |
P79765
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zarya, firstISSModule, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstISSModule Context triple: [Zarya, firstISSModule, true]
-
A.
firstModuleLaunch
Indicates the event or relationship where the initial module of a system, project, or mission is launched or activated for the first time.
-
B.
firstISSRendezvous
Indicates that the event represents the first successful rendezvous (meeting or docking) with the International Space Station for the entities involved.
-
C.
firstISSMission
Indicates that the subject entity represents the first mission associated with the International Space Station (ISS) for the given context.
-
D.
firstIssueNumber
Indicates the issue number at which something (such as a series, feature, or character) first appeared or began.
-
E.
crewModule
Indicates that an object functions as or contains a crew module, i.e., a section designed to house and support crew members.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:05 p.m.