Triple
T8239298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martini–Henry rifle |
E192490
|
entity |
| Predicate | primaryCalibre |
P81016
|
FINISHED |
| Object | .450 inch |
—
|
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: .450 inch | Statement: [Martini–Henry rifle, primaryCalibre, .450 inch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCalibre Context triple: [Martini–Henry rifle, primaryCalibre, .450 inch]
-
A.
primaryNotation
Indicates the main or preferred symbolic representation or writing system used to express an entity.
-
B.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
C.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
D.
primaryCharacteristics
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
E.
primarySeries
Indicates that one entity is the main or principal sequence, set, or collection to which another entity is related or 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783cce5c8190bf116704d2923ade |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:47 p.m.