Triple
T6860039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordenveld |
E158251
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Roden |
E624557
|
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: Roden | Statement: [Noordenveld, hasTown, Roden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roden Context triple: [Noordenveld, hasTown, Roden]
-
A.
Roden
chosen
Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
-
B.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
C.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
D.
Rokin
Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
-
E.
Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8737fac81909fc546ca2bf6a278 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74283a6e0819090366d8d677ed4fa |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:21 p.m.