Triple
T32561811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Goetz |
E832246
|
entity |
| Predicate | carriedConcealedWeapon |
P174597
|
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: [Bernhard Goetz, carriedConcealedWeapon, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedConcealedWeapon Context triple: [Bernhard Goetz, carriedConcealedWeapon, yes]
-
A.
weaponryCarried
Indicates that one entity is carrying or equipped with a weapon or set of weapons in relation to another entity or context.
-
B.
prohibitedWeapon
Indicates that an entity is classified as a weapon whose possession, use, or transfer is forbidden by law, regulation, or policy.
-
C.
holsterCompatibility
Indicates that one item can be securely carried or stored in a particular holster designed to fit it.
-
D.
hasKillerWeapon
Indicates that a particular weapon was used by an entity to commit a killing.
-
E.
weaponDepicted
Indicates that a weapon is visually represented or shown in association with an 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c6084a348190a1b644c398d91589 |
completed | May 3, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:03 a.m.