Triple
T16550632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meganisi |
E402061
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Katomeri |
E1219454
|
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: Katomeri | Statement: [Meganisi, capital, Katomeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katomeri Context triple: [Meganisi, capital, Katomeri]
-
A.
Katomeri
chosen
Katomeri is a small traditional village that serves as the main settlement and administrative center of the Greek island of Meganisi in the Ionian Sea.
-
B.
Kamatero
Kamatero is a suburban municipality within the Athens metropolitan area in Greece, known primarily as a residential district.
-
C.
Kamenari
Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
-
D.
Kotosh
Kotosh is an important early ceremonial and archaeological site in the central highlands of Peru, known for its distinctive temple architecture and role in the Formative Period of Andean civilization.
-
E.
Koromo
Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006edbd8388190b9a96c1cc5c9119e |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.