Triple
T23293026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stühlingen |
E590085
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Weizen
Weizen is a village and district of the town of Stühlingen in the state of Baden-Württemberg in southwestern Germany.
|
E1581311
|
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: Weizen | Statement: [Stühlingen, hasSubdivision, Weizen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weizen Context triple: [Stühlingen, hasSubdivision, Weizen]
-
A.
Dinkel
Dinkel is a small river in the eastern Netherlands and western Germany, known for flowing through the Twente region and its relatively unspoiled natural landscapes.
-
B.
Barley
Barley is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional English countryside setting.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Triticum durum
Triticum durum is a hard wheat species primarily used to make pasta, couscous, and other semolina-based products.
-
E.
Centeno
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
- 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: Weizen Triple: [Stühlingen, hasSubdivision, Weizen]
Generated description
Weizen is a village and district of the town of Stühlingen in the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weizen Target entity description: Weizen is a village and district of the town of Stühlingen in the state of Baden-Württemberg in southwestern Germany.
-
A.
Dinkel
Dinkel is a small river in the eastern Netherlands and western Germany, known for flowing through the Twente region and its relatively unspoiled natural landscapes.
-
B.
Barley
Barley is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional English countryside setting.
-
C.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
-
D.
Triticum durum
Triticum durum is a hard wheat species primarily used to make pasta, couscous, and other semolina-based products.
-
E.
Centeno
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c908ecc8190b2f9c7ade1beed3e |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c5035e4f08190bcab7317ebcf8db7 |
completed | May 19, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c50c394108190a0657bbf3923cc73 |
completed | May 19, 2026, noon |
Created at: April 17, 2026, 5:02 p.m.