Triple
T20836330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manijaci |
E512967
|
entity |
| Predicate | associatedWithClubNickname |
P49144
|
FINISHED |
| Object | Željo |
—
|
NE NERFINISHED |
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: Željo | Statement: [Manijaci, associatedWithClubNickname, Željo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Željo Context triple: [Manijaci, associatedWithClubNickname, Željo]
-
A.
Željo
chosen
Željo is the popular nickname of FK Željezničar Sarajevo, one of Bosnia and Herzegovina’s most successful and historically significant football clubs.
-
B.
Željko
Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
-
C.
Anže
Anže is the Slovene given name of Anže Kopitar, a prominent Slovenian professional ice hockey player and longtime captain of the Los Angeles Kings in the NHL.
-
D.
Zdenko
Zdenko is the given name of Ferdinand Zdenko, the 8th Prince Lobkowicz, a member of the prominent Bohemian noble Lobkowicz family.
-
E.
Zelenci
Zelenci is a picturesque emerald-green spring and wetland area in northwestern Slovenia, renowned as the source of the Sava Dolinka River and for its protected natural beauty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.