Triple
T20912696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidda |
E514987
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Obere Nidda (upper Nidda) |
—
|
NE NERFINISHED |
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: Obere Nidda (upper Nidda) | Statement: [Nidda, hasPart, Obere Nidda (upper Nidda)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obere Nidda (upper Nidda) Context triple: [Nidda, hasPart, Obere Nidda (upper Nidda)]
-
A.
Nidda River
The Nidda River is a tributary of the Main in central Germany, flowing through Hesse and passing near Frankfurt before joining the Main.
-
B.
Nogat
Nogat is a river in northern Poland that branches off from the Vistula and flows into the Baltic Sea near the Bay of Gdańsk.
-
C.
Rehovot Ha-Nahar
Rehovot Ha-Nahar is a seminal Hebrew poetry collection by Uri Zvi Greenberg, noted for its intense nationalist and prophetic themes.
-
D.
Nidda
chosen
The Nidda is a river in the German state of Hesse that flows through towns such as Bad Vilbel and joins the Main near Frankfurt.
-
E.
Tauber River
The Tauber River is a tributary of the Main River in Germany, known for flowing through picturesque Franconian landscapes and historic towns along the Romantic Road.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5f5bc48190a8e7e6af60b158fb |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.