Triple
T16504198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delme |
E400878
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Delme |
E400878
|
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: Delme | Statement: [Delme, hasGermanName, Delme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delme Context triple: [Delme, hasGermanName, Delme]
-
A.
Delme
chosen
The Delme is a small river in northwestern Germany that flows through the town of Delmenhorst before joining larger regional waterways.
-
B.
River Orne
River Orne is a river in northwestern France that flows through Normandy and played a notable role in World War II, particularly during the D-Day landings.
-
C.
Oise River
The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
-
D.
Ancre River
The Ancre River is a waterway in northern France that flows through the historic battlefields of the Somme before joining the Somme River.
-
E.
Loing
The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e5100e48190a623d6ee2fefb87e |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058305e308190a22cbd03daec53aa |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.