Triple
T13078213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monemvasia |
E329632
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Neapoli Voion |
E329633
|
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: Neapoli Voion | Statement: [Monemvasia, nearCity, Neapoli Voion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neapoli Voion Context triple: [Monemvasia, nearCity, Neapoli Voion]
-
A.
Neapoli Voion
chosen
Neapoli Voion is a coastal town in southern Greece known as a port and seaside destination at the southeastern tip of the Peloponnese.
-
B.
Neapoli
Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
-
C.
Vannino
Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
-
D.
Nápoles
Nápoles is a middle- to upper-class residential and commercial neighborhood in Mexico City, known for its modern architecture, the World Trade Center complex, and a mix of offices, restaurants, and apartment buildings.
-
E.
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60aaac48190b5b724a19cad5279 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.