Triple
T20858295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spree River |
E513539
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Panke |
—
|
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: Panke | Statement: [Spree River, hasTributary, Panke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panke Context triple: [Spree River, hasTributary, Panke]
-
A.
Panke
chosen
Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
-
B.
Pyena
Pyena is a locality in present-day Belarus historically notable as the place where the founder of Chabad Hasidism, Shneur Zalman of Liadi, passed away.
-
C.
Pana
"Pana" is a hit Afrobeats single by Nigerian singer Tekno that gained widespread popularity across Africa and beyond.
-
D.
Panenka
Panenka is a famous football penalty-taking technique in which the kicker delicately chips the ball down the center of the goal, typically as the goalkeeper dives to one side.
-
E.
Pannerden
Pannerden is a village in the Dutch province of Gelderland, situated near the Rhine and known for its proximity to key waterways and historical floodplains.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a9fd7881908ae4c5c63f64efc0 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.