Triple
T16546846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish M39 |
E401964
|
entity |
| Predicate | hasBayonetMount |
P37995
|
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: [Finnish M39, hasBayonetMount, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBayonetMount Context triple: [Finnish M39, hasBayonetMount, yes]
-
A.
bayonetMount
chosen
Indicates that one object is equipped with or designed to accept a bayonet-style mounting connection to another object.
-
B.
hasScabbard
Indicates that an item, typically a bladed weapon, is accompanied by or stored in a scabbard designed to hold it.
-
C.
weaponMount
Indicates that one entity serves as a mounting point or support structure for attaching or holding a weapon on another entity.
-
D.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
E.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbe3fb48190bad143b50dc73c7e |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.