Triple
T20617948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confraternity of the Arquebusiers of Antwerp |
E506613
|
entity |
| Predicate | typeOfMilitia |
P140800
|
FINISHED |
| Object | shooting guild |
—
|
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: shooting guild | Statement: [Confraternity of the Arquebusiers of Antwerp, typeOfMilitia, shooting guild]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMilitia Context triple: [Confraternity of the Arquebusiers of Antwerp, typeOfMilitia, shooting guild]
-
A.
typeOfMilitancy
Indicates the specific form or category of militant activity or behavior associated with an entity.
-
B.
hasMilitaryType
Indicates that an entity is associated with or classified under a specific military category, role, or type.
-
C.
patriotForceType
Indicates the type or category of force associated with a patriot or patriotic group (e.g., military, paramilitary, civilian).
-
D.
civilOrMilitary
Indicates that something is classified as either civil (non-military) or military in nature or function.
-
E.
typeOfCadetForce
Indicates the specific category or kind of cadet force to which an entity belongs.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abdf9d7c8190969247a4ae55b781 |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.