Triple
T8131759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weaver rail |
E189867
|
entity |
| Predicate | mountsTo |
P29518
|
FINISHED |
| Object | firearm receiver |
—
|
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: firearm receiver | Statement: [Weaver rail, mountsTo, firearm receiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountsTo Context triple: [Weaver rail, mountsTo, firearm receiver]
-
A.
mountOf
Indicates that one entity serves as the mount or riding animal/creature used by another entity.
-
B.
mountingLocation
chosen
Indicates the physical position or surface on which something is attached, fixed, or installed.
-
C.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
-
D.
bindsTo
Indicates that one entity physically or functionally attaches or connects to another, often with some specificity or selectivity in the interaction.
-
E.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:34 p.m.