Triple
T16152765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KV5 |
E391955
|
entity |
| Predicate | estimatedChambers |
P1545
|
FINISHED |
| Object | over 120 |
—
|
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: over 120 | Statement: [KV5, estimatedChambers, over 120]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedChambers Context triple: [KV5, estimatedChambers, over 120]
-
A.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
B.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
C.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
D.
chamberSize
Indicates the relative capacity or dimensions of a chamber in relation to a specified reference or standard.
-
E.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d98d08c8190a15d4aee40d47220 |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.