Triple
T2695077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salamis Island |
E58492
|
entity |
| Predicate | modernName |
P1213
|
FINISHED |
| Object | Salamina |
E291379
|
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: Salamina | Statement: [Salamis Island, modernName, Salamina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salamina Context triple: [Salamis Island, modernName, Salamina]
-
A.
Salamina
chosen
Salamina is the main town and administrative center of Salamis Island in Greece, known for its coastal setting and role as the island’s primary hub of local life and services.
-
B.
Salamina
Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
-
C.
Pserimos
Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
-
D.
Galarina
Galarina is a famous surrealist painting by Salvador Dalí depicting his muse and wife Gala in a classical, devotional style.
-
E.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda10a9bc81908473d02ab9116cef |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbba22348190a3f70439a6b21e1c |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:55 p.m.