Triple
T11371141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veluwe |
E269342
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Epe |
E604614
|
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: Epe | Statement: [Veluwe, contains, Epe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epe Context triple: [Veluwe, contains, Epe]
-
A.
Epe
Epe is a coastal town and local government area in Lagos State, Nigeria, known for its fishing communities, markets, and proximity to the Lekki Lagoon.
-
B.
Epe
chosen
Epe is a district of the town Gronau in North Rhine-Westphalia, Germany, known for its proximity to the Dutch border and its mix of residential areas and local industry.
-
C.
Esla
The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
-
D.
Oenpelli
Oenpelli is a remote Aboriginal community in Australia’s Northern Territory, known for its rich Indigenous culture and rock art in western Arnhem Land.
-
E.
Ema
Ema is a given name used as a variant spelling of Emma in various languages and cultures.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8b196881909af9b138661e816d |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568516a481909ea66cbe53968e84 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.