Triple
T11739251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens metropolitan area |
E279108
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lykovrysi |
E276366
|
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: Lykovrysi | Statement: [Athens metropolitan area, hasPart, Lykovrysi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lykovrysi Context triple: [Athens metropolitan area, hasPart, Lykovrysi]
-
A.
Lykovrysi
chosen
Lykovrysi is a suburban town in the northern part of the Athens metropolitan area in Greece.
-
B.
Vlichos
Vlichos is a small coastal village on the Greek island of Hydra, known for its traditional stone houses, quiet beaches, and scenic seaside promenade.
-
C.
Vromonas
Vromonas is a small Greek island that forms part of the Echinades archipelago in the Ionian Sea.
-
D.
Klyntar
Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
-
E.
Kouklia
Kouklia is a village in the Paphos District of Cyprus known for its rich archaeological heritage, including the ancient sanctuary of Aphrodite at Palaepaphos.
- 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_69f0901a6ed481909054ddd581935ac4 |
completed | April 28, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:41 p.m.