Triple
T4718217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek islands |
E104699
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Milos |
E77301
|
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: Milos | Statement: [Greek islands, hasPart, Milos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milos Context triple: [Greek islands, hasPart, Milos]
-
A.
Milos
chosen
Milos is a volcanic Greek island in the southwestern Cyclades, renowned for its dramatic coastal landscapes, colorful rock formations, and numerous beaches.
-
B.
Crveni Otok
Crveni Otok is a small, scenic island off the coast of Rovinj in Croatia, known for its beaches, pine forests, and historic monastery complex.
-
C.
Lastovo
Lastovo is a remote Croatian island in the Adriatic Sea, known for its unspoiled nature, dense forests, and traditional stone villages.
-
D.
Leros
Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
-
E.
Lefkada
Lefkada is a Greek island in the Ionian Sea known for its dramatic cliffs, turquoise waters, and popular beaches such as Porto Katsiki and Egremni.
- 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_69be77845de88190a93f666d8e9faf00 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 20, 2026, 1:18 p.m.