Triple
T17013664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheden |
E412761
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Ellecom |
E408457
|
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: Ellecom | Statement: [Rheden, hasNearbySettlement, Ellecom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellecom Context triple: [Rheden, hasNearbySettlement, Ellecom]
-
A.
Enneco
Enneco is a medieval Basque given name, historically associated with early Navarrese nobility and considered an antecedent of the name Íñigo.
-
B.
Erlecom
chosen
Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
-
C.
Eppegem
Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
-
D.
Orlec
Orlec is a small village on the Croatian island of Cres, known for its traditional stone architecture and rural Mediterranean setting.
-
E.
Elle Belgium
Elle Belgium is the Belgian edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Belgian readers in French and/or Dutch.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47dab688190bf486bcf0b40ed4f |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.