Triple
T9876787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Zbrojovka Brno |
E240090
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Zbrojovka |
E826524
|
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: Zbrojovka | Statement: [FC Zbrojovka Brno, nickname, Zbrojovka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zbrojovka Context triple: [FC Zbrojovka Brno, nickname, Zbrojovka]
-
A.
Zbrojovka Brno
chosen
Zbrojovka Brno is a Czech professional football club based in Brno, historically known for competing in the country’s top leagues.
-
B.
Česká zbrojovka Uherský Brod
Česká zbrojovka Uherský Brod is a major Czech firearms manufacturer known for producing a wide range of military, law-enforcement, and civilian weapons, including rifles and pistols.
-
C.
Łucznik Arms Factory
Łucznik Arms Factory is a Polish state-owned firearms manufacturer best known for producing military rifles and small arms, including modern service weapons for Poland’s armed forces.
-
D.
Mosina
Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
-
E.
Steyr
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eae5a31c81908085f637fbbff6d2 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:37 p.m.