Triple
T17263983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dender |
E419075
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Aat |
E385488
|
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: Aat | Statement: [Dender, flowsThrough, Aat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aat Context triple: [Dender, flowsThrough, Aat]
-
A.
Ate
Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
-
B.
Ate
Ate is the Greek goddess of ruin, folly, and delusion, known for leading gods and mortals alike into reckless actions and disastrous consequences.
-
C.
Ate
Ate was the personal name of Emperor Heizei, an early 9th-century Japanese emperor of the Heian period.
-
D.
Ter Aar
chosen
Ter Aar is a village in the Dutch province of South Holland, known for its rural character and location within the municipality of Nieuwkoop.
-
E.
Aar
Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4432fc81908fd90865822af1fa |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0171054f388190bf068ca2e6b88458 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:40 a.m.