Triple
T32750452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bofors Infantry Light & Lethal |
E837479
|
entity |
| Predicate | RBSMeaning |
P175067
|
FINISHED |
| Object | Robotsystem |
—
|
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: Robotsystem | Statement: [Bofors Infantry Light & Lethal, RBSMeaning, Robotsystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RBSMeaning Context triple: [Bofors Infantry Light & Lethal, RBSMeaning, Robotsystem]
-
A.
RIFXMeaning
Indicates that one entity represents the meaning, interpretation, or semantic content associated with another entity.
-
B.
b2Meaning
Indicates that one entity represents the underlying meaning, sense, or semantic content associated with another entity.
-
C.
PSEMeaning
Indicates that one entity expresses, conveys, or encodes a particular meaning or semantic content in relation to another.
-
D.
b1Meaning
Indicates that one entity represents the primary or first meaning or interpretation associated with another entity.
-
E.
PBMeaning
Indicates that something conveys, expresses, or represents a particular sense, idea, or significance.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:12 a.m.