Triple
T28354083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddystone (Remington-UMC) (contract) |
E718176
|
entity |
| Predicate | rifleModelProduced |
P164689
|
FINISHED |
| Object | P14 Enfield |
—
|
NE NERFINISHED |
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: P14 Enfield | Statement: [Eddystone (Remington-UMC) (contract), rifleModelProduced, P14 Enfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rifleModelProduced Context triple: [Eddystone (Remington-UMC) (contract), rifleModelProduced, P14 Enfield]
-
A.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
B.
tankModelProduced
Indicates that a particular model or variant of a tank was manufactured or brought into production by some producer or manufacturer.
-
C.
Berdan No.1 rifle
Indicates that an entity is a Berdan No.1 rifle, i.e., it has the identity or classification of that specific rifle model.
-
D.
aircraftModelProduced
Indicates that a specific aircraft model has been manufactured or produced by a particular entity (such as a company or organization).
-
E.
isServiceRifleOf
Indicates that one entity is the designated service rifle used by another entity, typically a military or armed force.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 12:48 a.m.