Triple
T15634693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agger |
E375909
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Overath |
E606670
|
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: Overath | Statement: [Agger, flowsThrough, Overath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overath Context triple: [Agger, flowsThrough, Overath]
-
A.
Overath
chosen
Overath is a small town in western Germany’s North Rhine-Westphalia, situated near Cologne within the broader Rhine-Ruhr urban area.
-
B.
Meeden
Meeden is a village in the Dutch province of Groningen, known for its rural character and location within the municipality of Midden-Groningen.
-
C.
Varamin
Varamin is a historic city in northern Iran, known for its agricultural importance and notable Islamic architecture, including the Jameh Mosque of Varamin.
-
D.
Thaton
Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
-
E.
Belev
Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f472b648190b7cd532a1b16373e |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.