Triple
T12351004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortuna Sittard |
E294483
|
entity |
| Predicate | nickName |
P2937
|
FINISHED |
| Object | Fortuna |
E723403
|
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: Fortuna | Statement: [Fortuna Sittard, nickName, Fortuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortuna Context triple: [Fortuna Sittard, nickName, Fortuna]
-
A.
Fortuna
chosen
Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
-
B.
Fortuna Primigenia
Fortuna Primigenia was an important ancient Roman goddess of fortune and fate, especially venerated at Praeneste as a powerful oracular deity.
-
C.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
-
D.
Felicitas
Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
-
E.
Pamona
Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346faa0481909e2f8463bff88c52 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.