Triple
T15945827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatoi Palace |
E386680
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | North Athens |
E289701
|
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: North Athens | Statement: [Tatoi Palace, region, North Athens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Athens Context triple: [Tatoi Palace, region, North Athens]
-
A.
North Athens
chosen
North Athens is a regional unit in the Attica region of Greece that encompasses the northern suburbs of the Athens metropolitan area.
-
B.
South Athens
South Athens is a regional unit within the Athens metropolitan area in Greece, encompassing several southern coastal and urban municipalities.
-
C.
West Athens
West Athens is a suburban municipality in the western part of the Athens metropolitan area in Greece, encompassing districts such as Ilion.
-
D.
Athina
Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
-
E.
Atina
Atina is a historic hill town in Italy’s Lazio region, known for its medieval architecture and scenic position in the Comino Valley.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5beabbc8190977f14c1b3ccdf29 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.