Triple
T11776376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sándor Kocsis |
E280028
|
entity |
| Predicate | clubNumberOfGoalsForFCBarcelona |
P101530
|
FINISHED |
| Object | over 150 goals in official matches |
—
|
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: over 150 goals in official matches | Statement: [Sándor Kocsis, clubNumberOfGoalsForFCBarcelona, over 150 goals in official matches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberOfGoalsForFCBarcelona Context triple: [Sándor Kocsis, clubNumberOfGoalsForFCBarcelona, over 150 goals in official matches]
-
A.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
-
B.
fanBaseCharacteristicFCBarcelona
Indicates a characteristic or defining trait associated with the fan base of FC Barcelona.
-
C.
numberOfTermsAsFCBarcelonaPresident
Indicates the number of separate terms an individual has served as president of FC Barcelona.
-
D.
goalsByRealMadrid
Indicates the number of goals that were scored by Real Madrid.
-
E.
managerYearsAtFCBarcelona
Indicates the number of years an individual served as a manager at FC Barcelona.
- F. None of above. chosen
Provenance (4 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
| PDg | Predicate description generation | batch_69d8a8c07d648190b8650d31f3a15090 |
completed | April 10, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:42 p.m.