Triple
T15912994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German light cruiser Breslau |
E385894
|
entity |
| Predicate | renamedAs |
P65
|
FINISHED |
| Object | Midilli |
E1048239
|
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: Midilli | Statement: [German light cruiser Breslau, renamedAs, Midilli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midilli Context triple: [German light cruiser Breslau, renamedAs, Midilli]
-
A.
Midilli
chosen
Midilli was the former German light cruiser SMS Breslau, serving in the Ottoman Navy during World War I and known for its operations in the Aegean and Black Seas alongside the battlecruiser Goeben.
-
B.
Magri
Magri is an Italian surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Sette
Sette is an Italian weekly news and culture magazine published as a supplement to the national newspaper Corriere della Sera.
-
D.
Mez
Mez is a music video director known for collaborating with artists like Middle Child to create visually engaging and narrative-driven videos.
-
E.
Maghar
Maghar is a month in the Nanakshahi calendar used in Sikhism, corresponding roughly to mid-November to mid-December in the Gregorian calendar.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0592b5c8190a4597644864a6bcb |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.