Triple
T27686748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sellier & Bellot |
E698051
|
entity |
| Predicate | offersAmmunitionType |
P6074
|
FINISHED |
| Object | FMJ |
—
|
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: FMJ | Statement: [Sellier & Bellot, offersAmmunitionType, FMJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersAmmunitionType Context triple: [Sellier & Bellot, offersAmmunitionType, FMJ]
-
A.
ammunitionType
chosen
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
B.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
C.
weaponTypeDelivered
Indicates that a specific type of weapon has been delivered from one entity to another.
-
D.
rangeStandardAmmunition
Indicates that the relationship specifies the standard type of ammunition used for a given range or weapon system.
-
E.
firearmActionType
Indicates the specific type or category of action performed with or by a firearm (such as firing, loading, carrying, or modifying).
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 2:50 p.m.