Triple
T16391588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellenic F.C. |
E398064
|
entity |
| Predicate | languageOfClubHeritage |
P123240
|
FINISHED |
| Object | Greek |
—
|
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: Greek | Statement: [Hellenic F.C., languageOfClubHeritage, Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfClubHeritage Context triple: [Hellenic F.C., languageOfClubHeritage, Greek]
-
A.
languageOfClubMedia
Indicates the language in which a club’s media or communications are produced or presented.
-
B.
officialLanguageOfClubOperations
Indicates the language that a club formally uses for its official communications and operations.
-
C.
languageOfTeamCountry
Indicates that a particular language is the official or primary language used in the country to which a given team belongs.
-
D.
languageOfCompetition
Indicates the language in which a competition is conducted or officially presented.
-
E.
languageOfFanbase
Indicates the primary language or languages commonly used by a fanbase in its communication and expression.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326436ce881909f0f3899b8d931aa |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.