Triple
T19032711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristotelis (municipality) |
E465784
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Olympiada |
—
|
NE NERFINISHED |
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: Olympiada | Statement: [Aristotelis (municipality), hasSettlement, Olympiada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympiada Context triple: [Aristotelis (municipality), hasSettlement, Olympiada]
-
A.
Olympiada
chosen
Olympiada is a coastal village in northern Greece known for its proximity to the ancient city of Stagira, birthplace of the philosopher Aristotle.
-
B.
Olympiades
Olympiades is a Paris Métro station in the 13th arrondissement that serves as the southern terminus of the automated Line 14.
-
C.
Kolympia
Kolympia is a coastal village and holiday resort on the island of Rhodes in Greece, known for its beaches and tourist facilities.
-
D.
Al-Olympic
Al-Olympic is a Libyan football club that competes in the country's top-tier Libyan Premier League.
-
E.
Olimp
Olimp is a seaside resort town on Romania’s Black Sea coast, known for its beaches and holiday accommodations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.