Triple
T11462485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FN MAG |
E271695
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Fabrique Nationale de Herstal |
E386645
|
NE 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: Fabrique Nationale de Herstal | Statement: [FN MAG, designer, Fabrique Nationale de Herstal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabrique Nationale de Herstal Context triple: [FN MAG, designer, Fabrique Nationale de Herstal]
-
A.
FN Herstal
chosen
FN Herstal is a Belgian firearms manufacturer renowned for producing a wide range of military and law-enforcement weapons used worldwide.
-
B.
Manufacture d’armes de Saint-Étienne
Manufacture d’armes de Saint-Étienne was a major French state-owned arms factory historically responsible for designing and producing military small arms and equipment.
-
C.
Oerlikon
Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
-
D.
Le Creusot
Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
-
E.
Rheinmetall
Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e92a7c2881908d85009a6069b2e4 |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.