Triple
T4045571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Oversteek |
E84056
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lent district |
E398377
|
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: Lent district | Statement: [De Oversteek, near, Lent district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lent district Context triple: [De Oversteek, near, Lent district]
-
A.
Lent district
chosen
Lent district is a neighborhood of the Dutch city of Nijmegen, located north of the Waal River and known for its residential development and transport links.
-
B.
Co Do District
Co Do District is a rural administrative district of Cần Thơ city in Vietnam’s Mekong Delta region.
-
C.
Old Mill District
Old Mill District is a redeveloped historic lumber mill area in Bend, Oregon, featuring shopping, dining, entertainment, and riverfront recreation.
-
D.
Laurel District
The Laurel District is a vibrant, historically diverse commercial and residential neighborhood in Oakland, California, known for its independent shops, restaurants, and community events.
-
E.
Garrison District
Garrison District is a historic military and cultural precinct in downtown Fredericton, New Brunswick, known for its preserved 19th-century buildings and heritage attractions.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb6135b481909d2be890a2140ff9 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.