Triple
T5684784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celle Air Base |
E125284
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
city of Celle
The city of Celle is a historic town in Lower Saxony, Germany, known for its well-preserved medieval old town and numerous timber-framed houses.
|
E540682
|
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: city of Celle | Statement: [Celle Air Base, locatedNear, city of Celle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Celle Context triple: [Celle Air Base, locatedNear, city of Celle]
-
A.
Coesfeld
Coesfeld is a town in the Münster region of North Rhine-Westphalia, Germany, known as a local administrative and commercial center.
-
B.
Hildesheim
Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
-
C.
Northeim
Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
-
D.
Helmstedt
Helmstedt is a historic town in Lower Saxony, Germany, known for its medieval architecture and former university.
-
E.
Fontanestadt Neuruppin
Fontanestadt Neuruppin is a German town in Brandenburg renowned as the birthplace of writer Theodor Fontane and noted for its literary heritage and historic architecture.
- 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: city of Celle Triple: [Celle Air Base, locatedNear, city of Celle]
Generated description
The city of Celle is a historic town in Lower Saxony, Germany, known for its well-preserved medieval old town and numerous timber-framed houses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: city of Celle Target entity description: The city of Celle is a historic town in Lower Saxony, Germany, known for its well-preserved medieval old town and numerous timber-framed houses.
-
A.
Coesfeld
Coesfeld is a town in the Münster region of North Rhine-Westphalia, Germany, known as a local administrative and commercial center.
-
B.
Hildesheim
Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
-
C.
Northeim
Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
-
D.
Helmstedt
Helmstedt is a historic town in Lower Saxony, Germany, known for its medieval architecture and former university.
-
E.
Fontanestadt Neuruppin
Fontanestadt Neuruppin is a German town in Brandenburg renowned as the birthplace of writer Theodor Fontane and noted for its literary heritage and historic architecture.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023b8efc4819085675d0d3dfb2a54 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3d2b348190b44a067f485bca70 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05bb6a334819094cff84f16f5285c |
completed | March 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c7a03948190b38e2dfcb04fd93e |
completed | March 22, 2026, 9:17 p.m. |
Created at: March 22, 2026, 3:44 p.m.