Triple
T16721366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastida |
E406355
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ialysos |
E90701
|
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: Ialysos | Statement: [Pastida, near, Ialysos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ialysos Context triple: [Pastida, near, Ialysos]
-
A.
Ialysos
chosen
Ialysos is a town and seaside resort on the northwest coast of the Greek island of Rhodes, known for its beaches and archaeological remains from ancient Ialysos.
-
B.
Iasos
Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
-
C.
Termessos
Termessos is an ancient Pisidian city in southwestern Turkey, renowned for its well-preserved ruins dramatically set high in the Taurus Mountains within a national park.
-
D.
Myrina
Myrina is a legendary Amazon queen in Greek mythology, famed for leading military campaigns and expanding Amazon influence across parts of Africa and Asia.
-
E.
Myrina
Myrina is the main town and administrative center of the Greek island of Lemnos in the northern Aegean Sea.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38743750c81908a980372ad8f1a6a |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfbe853c8190941d9a20173100fc |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:20 a.m.