Triple
T11000781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STRaND-1 |
E259996
|
entity |
| Predicate | usesCommercialOffTheShelfComponents |
P96577
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [STRaND-1, usesCommercialOffTheShelfComponents, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCommercialOffTheShelfComponents Context triple: [STRaND-1, usesCommercialOffTheShelfComponents, yes]
-
A.
containsProprietaryComponents
Indicates that one entity includes or is composed of components that are proprietary (owned, controlled, or restricted by a particular party).
-
B.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
C.
usedComponent
Indicates that one entity has employed or incorporated another entity as a component in its structure, function, or operation.
-
D.
hardwareUsed
Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
-
E.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d68b608190a8d016b9383e82f8 |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:25 p.m.