Triple
T12600297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergisches Land |
E300838
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Agger |
E375909
|
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: Agger | Statement: [Bergisches Land, traversedByRiver, Agger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agger Context triple: [Bergisches Land, traversedByRiver, Agger]
-
A.
Agger
chosen
Agger is a river in North Rhine-Westphalia, Germany, known as a tributary of the Sieg.
-
B.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
C.
Huccorgne
Huccorgne is a village in Wallonia, Belgium, that forms one of the municipal sections of the municipality of Wanze in the province of Liège.
-
D.
Heul
Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
-
E.
Enberg
Enberg is a surname most notably associated with American sportscaster Dick Enberg, renowned for his long career covering major sporting events on television and radio.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec92c6c8190bd2d193e70940407 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:09 p.m.