Triple
T7684679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springfield Model 1861 rifle-musket |
E174084
|
entity |
| Predicate | numberOfGrooves |
P78914
|
FINISHED |
| Object | 3-groove rifling |
—
|
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: 3-groove rifling | Statement: [Springfield Model 1861 rifle-musket, numberOfGrooves, 3-groove rifling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGrooves Context triple: [Springfield Model 1861 rifle-musket, numberOfGrooves, 3-groove rifling]
-
A.
numberOfDiscs
Indicates the quantity of discs associated with or contained by a given entity.
-
B.
numberOfHoles
Indicates the count of holes associated with or present in a given entity.
-
C.
numberOfTracks
Indicates the quantity of tracks associated with a given entity.
-
D.
numberOfBores
Indicates the relationship specifying how many bores (e.g., cylindrical holes or channels) are present in or associated with an object.
-
E.
bandCount
Indicates the number of bands or distinct grouped units associated with a given entity.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7048a01508190bc2e9ae8b863486c |
completed | March 27, 2026, 10:28 p.m. |
Created at: March 27, 2026, 4:02 p.m.