Triple
T6551994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahaus station |
E151150
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object |
Westfalentarif
Westfalentarif is a regional public transport tariff system used across parts of North Rhine-Westphalia, Germany, integrating fares for buses and trains within its coverage area.
|
E604620
|
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: Westfalentarif | Statement: [Ahaus station, fareZone, Westfalentarif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westfalentarif Context triple: [Ahaus station, fareZone, Westfalentarif]
-
A.
Tarifit
Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
B.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
-
C.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
D.
Neefe
Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
-
E.
Steinfeld
Steinfeld is the surname of American actress and singer Hailee Steinfeld, known for her roles in films like "True Grit" and "Pitch Perfect 2" and for her pop music career.
- 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: Westfalentarif Triple: [Ahaus station, fareZone, Westfalentarif]
Generated description
Westfalentarif is a regional public transport tariff system used across parts of North Rhine-Westphalia, Germany, integrating fares for buses and trains within its coverage area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westfalentarif Target entity description: Westfalentarif is a regional public transport tariff system used across parts of North Rhine-Westphalia, Germany, integrating fares for buses and trains within its coverage area.
-
A.
Tarifit
Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
B.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
-
C.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
D.
Neefe
Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
-
E.
Steinfeld
Steinfeld is the surname of American actress and singer Hailee Steinfeld, known for her roles in films like "True Grit" and "Pitch Perfect 2" and for her pop music career.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae05cd988190a013226b14cd98f0 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55416e48190b574e37a6f2e6690 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.