Triple
T3336129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District XIII |
E70143
|
entity |
| Predicate | includesArea |
P1393
|
FINISHED |
| Object | Margaret Island |
E90851
|
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: Margaret Island | Statement: [District XIII, includesArea, Margaret Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Island Context triple: [District XIII, includesArea, Margaret Island]
-
A.
Margaret Island
chosen
Margaret Island is a tranquil, park-filled island in the middle of the Danube River in Budapest, known for its recreational facilities, historic ruins, and scenic promenades.
-
B.
Pfaueninsel
Pfaueninsel is a small, historic island on the Havel River in Berlin, Germany, known for its romantic landscape park, palace, and free-roaming peacocks.
-
C.
Roseninsel
Roseninsel is a small, historically significant island in Lake Starnberg in Bavaria, Germany, known for its rose gardens and former royal retreat.
-
D.
Dassen Island
Dassen Island is a small, rocky island off the west coast of South Africa, known as an important seabird and penguin breeding sanctuary.
-
E.
Victoria Island
Victoria Island is an affluent coastal district of Lagos, Nigeria, known as a major commercial and residential hub with upscale businesses, hotels, and nightlife.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a885d148190a101ce50d5d87f53 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.