Triple
T16709620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Zlín |
E406068
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | PSG Zlín |
E408793
|
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: PSG Zlín | Statement: [HC Zlín, formerName, PSG Zlín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PSG Zlín Context triple: [HC Zlín, formerName, PSG Zlín]
-
A.
PSG Zlín
chosen
PSG Zlín is a Czech professional ice hockey club based in Zlín that competes in the country’s top leagues and has produced several notable players.
-
B.
Dukla Pardubice
Dukla Pardubice is a Czech sports club historically associated with the army-based Dukla sports association, known for competing in national-level competitions.
-
C.
Dukla Brno
Dukla Brno is a Czech sports club historically associated with the army-based Dukla sports association, best known for its achievements in cycling.
-
D.
Dukla Prague
Dukla Prague is a historic Czech football club from Prague known for its success in the mid-20th century and for producing notable players such as Pavel Nedvěd.
-
E.
Dukla Liberec
Dukla Liberec is a Czech sports club historically associated with the army sports association Dukla, known for competing at a high level in national competitions.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3865186b48190bb45a761f5cf1a83 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51378788190b9f3bb0a344dcdd8 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.