Triple
T228713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Saxony |
E4364
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object |
Aller
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
|
E29543
|
NE FINISHED |
How this triple was built (4 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: Aller | Statement: [Lower Saxony, hasMajorRiver, Aller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aller Context triple: [Lower Saxony, hasMajorRiver, Aller]
-
A.
Ngäbere
Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Escharen
Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
-
D.
Tulle
Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
-
E.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aller Triple: [Lower Saxony, hasMajorRiver, Aller]
Generated description
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aller Target entity description: The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
A.
Ngäbere
Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Escharen
Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
-
D.
Tulle
Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
-
E.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
- F. None of above. chosen
Provenance (5 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c9140c48190b90647400854b37e |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35ea326608190be39ec5260c3dac3 |
completed | Feb. 28, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69a35f0007208190acdfc17cd4bdf9b7 |
completed | Feb. 28, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a35f8565e081908ad0853151b57eba |
completed | Feb. 28, 2026, 9:35 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.