Triple
T23280303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajduk Split |
E588840
|
entity |
| Predicate | honoursNationalLeagueTitles |
P63945
|
FINISHED |
| Object | multiple Yugoslav First League titles |
—
|
LITERAL 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: multiple Yugoslav First League titles | Statement: [Hajduk Split, honoursNationalLeagueTitles, multiple Yugoslav First League titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursNationalLeagueTitles Context triple: [Hajduk Split, honoursNationalLeagueTitles, multiple Yugoslav First League titles]
-
A.
numberOfLeagueTitles
chosen
Indicates the total count of league championship titles that an entity has won.
-
B.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
-
C.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
D.
SixNationsTitles
Indicates the number of Six Nations Championship titles an entity has won.
-
E.
hasWonCupTitles
Indicates that an entity has achieved victory in one or more cup-style competitions, resulting in official cup titles.
- F. None of above.
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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19642b46481909fd455acd2155792 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:51 p.m.