Triple
T20912688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidda |
E514987
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Nidda (town) |
—
|
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: Nidda (town) | Statement: [Nidda, flowsThrough, Nidda (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nidda (town) Context triple: [Nidda, flowsThrough, Nidda (town)]
-
A.
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.
-
B.
Nitzana
Nitzana is an ancient desert settlement in the Negev region of southern Israel, known for its archaeological remains and historical role on trade and pilgrimage routes.
-
C.
Kfar Nahum
Kfar Nahum is the modern Israeli site identified with the ancient fishing village of Capernaum on the northwestern shore of the Sea of Galilee, known for its significant New Testament associations.
-
D.
Yide
Yide is the courtesy name of Zhang Fei, a famed military general of the late Eastern Han dynasty and the Three Kingdoms period in China.
-
E.
Kfar Shmaryahu
Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
- 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.