Triple

T10312398
Position Surface form Disambiguated ID Type / Status
Subject Lake Resia E241925 entity
Predicate watercourse P415 FINISHED
Object Rojenbach
Rojenbach is a stream in South Tyrol, Italy, that serves as one of the inflowing tributaries to Lake Resia in the Alps.
E855752 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: Rojenbach | Statement: [Lake Resia, watercourse, Rojenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rojenbach
Context triple: [Lake Resia, watercourse, Rojenbach]
  • A. Nanzenbach
    Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • B. Bulgenbach
    Bulgenbach is a locality in Germany known historically as the birthplace of the 16th-century peasant leader Hans Müller von Bulgenbach.
  • C. Aidenbach
    Aidenbach is a small Bavarian municipality in southeastern Germany known for its rural character and historical roots in the Lower Bavaria region.
  • D. Prackenbach
    Prackenbach is a small municipality in the Bavarian Forest region of southeastern Germany.
  • E. Tuzenbach
    Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
  • 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: Rojenbach
Triple: [Lake Resia, watercourse, Rojenbach]
Generated description
Rojenbach is a stream in South Tyrol, Italy, that serves as one of the inflowing tributaries to Lake Resia in the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rojenbach
Target entity description: Rojenbach is a stream in South Tyrol, Italy, that serves as one of the inflowing tributaries to Lake Resia in the Alps.
  • A. Nanzenbach
    Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • B. Bulgenbach
    Bulgenbach is a locality in Germany known historically as the birthplace of the 16th-century peasant leader Hans Müller von Bulgenbach.
  • C. Aidenbach
    Aidenbach is a small Bavarian municipality in southeastern Germany known for its rural character and historical roots in the Lower Bavaria region.
  • D. Prackenbach
    Prackenbach is a small municipality in the Bavarian Forest region of southeastern Germany.
  • E. Tuzenbach
    Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d801978819097293b5c98350fef completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73186831481909555e2205d8783a7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d732bfc76c819089287477b54a7b77 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:48 a.m.