Triple
T4718244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek islands |
E104699
|
entity |
| Predicate | hasPart |
P35
|
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: [Greek islands, hasPart, Salamina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salamina Context triple: [Greek islands, hasPart, 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.
Tanaea
Tanaea is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
E.
Galarina
Galarina is a famous surrealist painting by Salvador Dalí depicting his muse and wife Gala in a classical, devotional style.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64261af08190b0d5d86b0e7bacc0 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39f7316c8190a6ecd65b707d3fbe |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:18 p.m.