Triple
T1639138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-88 |
E35426
|
entity |
| Predicate | assembledStructure |
P22874
|
FINISHED |
| Object | First two modules of the International Space Station |
—
|
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: First two modules of the International Space Station | Statement: [STS-88, assembledStructure, First two modules of the International Space Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assembledStructure Context triple: [STS-88, assembledStructure, First two modules of the International Space Station]
-
A.
crystalStructure
Indicates the specific geometric arrangement of atoms or molecules in a crystalline material.
-
B.
hasAssembly
chosen
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
C.
internalStructure
Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
-
D.
constructedAs
Indicates that one entity is built, formed, or created in the manner, structure, or configuration specified by another entity.
-
E.
encodingStructure
Indicates the structural scheme or format used to encode information or data.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.