Triple
T22173718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannistor@de |
E547987
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object |
Johannistor
Johannistor is a historic city gate in the old town of Osnabrück, Germany, dating back to the medieval fortifications.
|
E1522804
|
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: Johannistor | Statement: [Johannistor@de, refersTo, Johannistor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johannistor Context triple: [Johannistor@de, refersTo, Johannistor]
-
A.
Johannitsa
Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
-
B.
Kiliansdom
Kiliansdom is the historic Roman Catholic cathedral in Würzburg, Germany, renowned for its grand Romanesque architecture and status as one of the city's most prominent landmarks.
-
C.
Meikirch
Meikirch is a rural municipality in the canton of Bern, Switzerland, known for its scenic countryside and proximity to the city of Bern.
-
D.
Kerkini
Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
-
E.
Jedaida
Jedaida is a town located in the Manouba Governorate of northern Tunisia, forming part of the greater Tunis metropolitan area.
- 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: Johannistor Triple: [Johannistor@de, refersTo, Johannistor]
Generated description
Johannistor is a historic city gate in the old town of Osnabrück, Germany, dating back to the medieval fortifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johannistor Target entity description: Johannistor is a historic city gate in the old town of Osnabrück, Germany, dating back to the medieval fortifications.
-
A.
Johannitsa
Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
-
B.
Kiliansdom
Kiliansdom is the historic Roman Catholic cathedral in Würzburg, Germany, renowned for its grand Romanesque architecture and status as one of the city's most prominent landmarks.
-
C.
Meikirch
Meikirch is a rural municipality in the canton of Bern, Switzerland, known for its scenic countryside and proximity to the city of Bern.
-
D.
Kerkini
Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
-
E.
Jedaida
Jedaida is a town located in the Manouba Governorate of northern Tunisia, forming part of the greater Tunis metropolitan area.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ec69cbc8190ac4dfde4443b5632 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9faeac54819096ff39be4bbd690a |
completed | May 18, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa05b6b7481908cbada539c02556d |
completed | May 18, 2026, 5:15 a.m. |
Created at: April 16, 2026, 8:34 p.m.