Triple
T11462622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CETME Ameli |
E271697
|
entity |
| Predicate | receiverConstruction |
P99703
|
FINISHED |
| Object | stamped sheet metal |
—
|
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: stamped sheet metal | Statement: [CETME Ameli, receiverConstruction, stamped sheet metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receiverConstruction Context triple: [CETME Ameli, receiverConstruction, stamped sheet metal]
-
A.
receiverType
Indicates the category or classification of the entity that receives something (such as a message, resource, or action) in the relationship.
-
B.
Receiver
Indicates the entity that is the target or beneficiary of an action, transfer, or communication initiated by another entity.
-
C.
receiverAction
Indicates that the receiver of something performs or is associated with a specific action in the context of that transfer or interaction.
-
D.
receiverInterface
Indicates that one entity functions as the receiving interface or endpoint for communications, signals, or data originating from another entity.
-
E.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.