Triple
T12175462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Integrated Science Instrument Module |
E290075
|
entity |
| Predicate | structuralMaterial |
P1272
|
FINISHED |
| Object | composite structures |
—
|
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: composite structures | Statement: [Integrated Science Instrument Module, structuralMaterial, composite structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralMaterial Context triple: [Integrated Science Instrument Module, structuralMaterial, composite structures]
-
A.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
B.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.