Triple
T25365957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kıtalararası Derbi |
E636099
|
entity |
| Predicate | continentOfGalatasarayStadium |
P162095
|
FINISHED |
| Object | Europe |
E833
|
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: Europe | Statement: [Kıtalararası Derbi, continentOfGalatasarayStadium, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfGalatasarayStadium Context triple: [Kıtalararası Derbi, continentOfGalatasarayStadium, Europe]
-
A.
continentOfHostCity
Indicates the continent on which the host city of an event or entity is located.
-
B.
continentOfOffice
Indicates the continent on which a given office is geographically located.
-
C.
continentOfWinningTeam
Indicates the continent on which the team that won a given event or competition is located.
-
D.
continentOfLeague
Indicates the continent on which a given sports league is primarily based or operates.
-
E.
continentOfParticipatingTeams
Indicates the continent from which the participating teams in an event or competition originate.
- F. None of above. chosen
Provenance (5 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10896bf884819093e9f533452297fd |
completed | May 22, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 21, 2026, 1:37 p.m.