Triple
T6780999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kallithea |
E155680
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | GS Kallithea |
E155680
|
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: GS Kallithea | Statement: [Kallithea, hasSportsClub, GS Kallithea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GS Kallithea Context triple: [Kallithea, hasSportsClub, GS Kallithea]
-
A.
Kallithea
chosen
Kallithea is a densely populated suburb of Athens, Greece, known for its urban character and cultural landmarks.
-
B.
Kallithea
Kallithea is a popular seaside resort town on the Kassandra peninsula in Chalkidiki, Greece, known for its beaches, nightlife, and nearby ancient sanctuaries.
-
C.
Kallithea (Rhodes)
Kallithea (Rhodes) is a coastal resort area on the Greek island of Rhodes, known for its historic thermal springs and scenic beaches.
-
D.
MV Panagiotis
MV Panagiotis is a famous smuggler ship whose wreck lies beached in the white sands of Navagio Beach on the Greek island of Zakynthos, making it one of the most iconic shipwrecks in the world.
-
E.
Navigo
Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26b32c0819093f86b1002260660 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d27a388190ab44e6e754019fca |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.