Triple

T9364376
Position Surface form Disambiguated ID Type / Status
Subject district of Freising E225362 entity
Predicate traversedBy P225 FINISHED
Object Amper River
The Amper River is a Bavarian river that flows through Upper Bavaria, including the district of Freising, before joining the Isar River.
 E816751 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: Amper River | Statement: [district of Freising, traversedBy, Amper River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amper River
Context triple: [district of Freising, traversedBy, Amper River]
  • A. Aure River
    The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
  • B. Sée River
    The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
  • C. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • D. Avre River
    The Avre River is a watercourse in northern France that flows through the Picardy region before joining the Somme River.
  • E. Têt River
    The Têt River is a coastal river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
  • 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: Amper River
Triple: [district of Freising, traversedBy, Amper River]
Generated description
The Amper River is a Bavarian river that flows through Upper Bavaria, including the district of Freising, before joining the Isar River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amper River
Target entity description: The Amper River is a Bavarian river that flows through Upper Bavaria, including the district of Freising, before joining the Isar River.
  • A. Aure River
    The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
  • B. Sée River
    The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
  • C. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • D. Avre River
    The Avre River is a watercourse in northern France that flows through the Picardy region before joining the Somme River.
  • E. Têt River
    The Têt River is a coastal river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f55c9c881909a315d10cea10834 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a0326dd081909e39e422c11cc08f completed April 4, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0c05aa88190a93b0b71bef5c417 completed April 4, 2026, 11:37 p.m.
Created at: March 30, 2026, 7:42 p.m.