Triple

T8687929
Position Surface form Disambiguated ID Type / Status
Subject Ammer E206209 entity
Predicate hasTributary P415 FINISHED
Object Linder
Linder is a river in Bavaria, Germany, known as a headwater stream of the Ammer that flows through the Ammergau Alps.
 E752209 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: Linder | Statement: [Ammer, hasTributary, Linder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linder
Context triple: [Ammer, hasTributary, Linder]
  • A. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • B. Lindra
    Lindra is a genus of marine fungi within the order Lulworthiales, known for inhabiting and decomposing submerged wood and plant debris in ocean environments.
  • C. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • D. Lankendem
    Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
  • E. Lukin
    Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
  • 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: Linder
Triple: [Ammer, hasTributary, Linder]
Generated description
Linder is a river in Bavaria, Germany, known as a headwater stream of the Ammer that flows through the Ammergau Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linder
Target entity description: Linder is a river in Bavaria, Germany, known as a headwater stream of the Ammer that flows through the Ammergau Alps.
  • A. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • B. Lindra
    Lindra is a genus of marine fungi within the order Lulworthiales, known for inhabiting and decomposing submerged wood and plant debris in ocean environments.
  • C. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • D. Lankendem
    Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
  • E. Lukin
    Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5731cf08819082e0cbe0975b70bb completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3d6904c8190a8456a99dae87bf2 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef56df85c81908cb10aa7d80ce358 completed April 2, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69cef6757cd8819082ffc32256b0f86c completed April 2, 2026, 11:06 p.m.
Created at: March 30, 2026, 6:33 p.m.