Triple
T21369468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sifnos |
E527013
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kamares |
—
|
NE NERFINISHED |
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: Kamares | Statement: [Sifnos, hasSettlement, Kamares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamares Context triple: [Sifnos, hasSettlement, Kamares]
-
A.
Kamares
Kamares is a well-preserved Ottoman-era aqueduct in Kavala, Greece, and one of the city’s most recognizable landmarks.
-
B.
Kamares
chosen
Kamares is the main port village of the Greek island of Siphnos, known for its sandy beach, waterfront tavernas, and role as the island’s primary gateway.
-
C.
Bastida
Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
-
D.
Calah
Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
-
E.
Kabeira
Kabeira is the ancient name of the town now known as Niksar, a historically significant settlement in northern Turkey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:09 p.m.