Triple
T15634700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agger |
E375909
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Leppe |
E991907
|
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: Leppe | Statement: [Agger, hasTributary, Leppe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leppe Context triple: [Agger, hasTributary, Leppe]
-
A.
Leppe
chosen
Leppe is a small river in western Germany that flows through the hilly Bergisches Land region of North Rhine-Westphalia.
-
B.
Lepe
Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
-
C.
Lepe
Lepe is a small coastal area and country park on the south coast of England, known for its shingle beach, views across the Solent, and historic D-Day embarkation remains.
-
D.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
E.
Zepernick
Zepernick is a locality in the German state of Brandenburg that now forms part of the municipality of Panketal.
- 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.