Triple
T712160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens S70 |
E14233
|
entity |
| Predicate | articulation |
P17482
|
FINISHED |
| Object | multi-section articulated |
—
|
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: multi-section articulated | Statement: [Siemens S70, articulation, multi-section articulated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articulation Context triple: [Siemens S70, articulation, multi-section articulated]
-
A.
articulated
Indicates that one entity has expressed, formulated, or clearly stated another entity (such as an idea, plan, or position) in words or another communicative form.
-
B.
hasArticulation
Indicates that one entity possesses or exhibits a specific type or structure of articulation in relation to another entity or system.
-
C.
usesArticulators
Indicates that an entity performs an action or produces a signal by employing specific speech or movement articulators (e.g., tongue, lips, jaw).
-
D.
hasArticulationType
chosen
Indicates the specific manner or type of connection or joint by which two parts or entities are linked or articulated.
-
E.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.