Triple
T11739227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens metropolitan area |
E279108
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Vrilissia |
E276367
|
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: Vrilissia | Statement: [Athens metropolitan area, hasPart, Vrilissia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vrilissia Context triple: [Athens metropolitan area, hasPart, Vrilissia]
-
A.
Vrilissia
chosen
Vrilissia is a suburban municipality in the northeastern part of the Athens metropolitan area in Greece.
-
B.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
C.
Visaltia
Visaltia is a municipality in northern Greece located within the Serres regional unit in Central Macedonia.
-
D.
Teraina
Teraina is a remote, low-lying coral atoll in the central Pacific Ocean that forms part of the Republic of Kiribati.
-
E.
Izzone
The Izzone is the passionate and famously raucous student cheering section for Michigan State University men's basketball games at the Breslin Center.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019c339cc81909967ecfa234e4ab8 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.