Triple
T37909316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COTS 2+ mission |
E945641
|
entity |
| Predicate | spaceStationModuleUsedForBerthing |
P62515
|
FINISHED |
| Object | Harmony |
—
|
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: Harmony | Statement: [COTS 2+ mission, spaceStationModuleUsedForBerthing, Harmony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceStationModuleUsedForBerthing Context triple: [COTS 2+ mission, spaceStationModuleUsedForBerthing, Harmony]
-
A.
spaceStationModuleUsed
chosen
Indicates that a particular space station module is utilized or occupied for a specific purpose or activity.
-
B.
spaceStationAssociation
Indicates an affiliation or operational relationship between an entity and a specific space station, such as ownership, management, use, or service connection.
-
C.
spaceStationModuleOf
Indicates that one entity is a module or component that forms part of a particular space station.
-
D.
dockingWithISS
Indicates a relationship where a spacecraft is physically connecting and securing itself to the International Space Station to enable transfer of crew, cargo, or resources.
-
E.
spaceStationType
Indicates the specific functional or structural category to which a space station belongs (e.g., research, military, commercial).
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.