Triple
T12227341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zografou |
E291387
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Vyronas |
E291386
|
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: Vyronas | Statement: [Zografou, adjacentTo, Vyronas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vyronas Context triple: [Zografou, adjacentTo, Vyronas]
-
A.
Vyronas
chosen
Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
-
B.
Kienbaum
Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
-
C.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
D.
Balta
Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
-
E.
Viera
Viera are a tall, long-eared, rabbit-like humanoid race from the Final Fantasy series, known for their agility, keen senses, and reclusive forest-dwelling culture.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aab4a70819099856b990e3a8a1b |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.