Triple
T15957677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Sportif Sfaxien |
E386976
|
entity |
| Predicate | playsInDerbyOrClassic |
P45389
|
FINISHED |
| Object | matches against Espérance Sportive de Tunis |
—
|
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: matches against Espérance Sportive de Tunis | Statement: [Club Sportif Sfaxien, playsInDerbyOrClassic, matches against Espérance Sportive de Tunis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInDerbyOrClassic Context triple: [Club Sportif Sfaxien, playsInDerbyOrClassic, matches against Espérance Sportive de Tunis]
-
A.
playsInDerby
Indicates participation by an entity as a competitor or performer in a derby event.
-
B.
playsInDerbyWith
chosen
Indicates that two entities participate together as opponents or competitors in the same derby event or match.
-
C.
isDerby
Indicates that a competition or match is a derby, typically involving teams or participants from the same locality or with a strong rivalry.
-
D.
typeOfDerby
Indicates that one entity is a specific kind or category of derby in relation to another entity.
-
E.
isFromCityWithDerby
Indicates that an entity originates from a city that has a football (or sports) derby with another team from the same city.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.