Triple

T15493779
Position Surface form Disambiguated ID Type / Status
Subject Haidhausen E378761 entity
Predicate adjacentTo P224 FINISHED
Object Au
Au is a district of Munich, Germany, known for its historic working-class roots and riverside location along the Isar.
 E1161327 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: Au | Statement: [Haidhausen, adjacentTo, Au]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Au
Context triple: [Haidhausen, adjacentTo, Au]
  • A. Atombaupreis
    The Atombaupreis was a German scientific award recognizing outstanding contributions to nuclear physics and atomic research.
  • B. Nickel
    Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
  • C. Auks
    Auks are seabirds of the family Alcidae, known for their diving ability and resemblance to penguins, found primarily in the cooler coastal waters of the Northern Hemisphere.
  • D. Altinum
    Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
  • E. Argenta
    Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
  • 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: Au
Triple: [Haidhausen, adjacentTo, Au]
Generated description
Au is a district of Munich, Germany, known for its historic working-class roots and riverside location along the Isar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Au
Target entity description: Au is a district of Munich, Germany, known for its historic working-class roots and riverside location along the Isar.
  • A. Atombaupreis
    The Atombaupreis was a German scientific award recognizing outstanding contributions to nuclear physics and atomic research.
  • B. Nickel
    Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
  • C. Auks
    Auks are seabirds of the family Alcidae, known for their diving ability and resemblance to penguins, found primarily in the cooler coastal waters of the Northern Hemisphere.
  • D. Altinum
    Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
  • E. Argenta
    Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff373558c88190983792d12956886e completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37c1b1e081909662b37eb5a2da1a completed May 9, 2026, 1:33 p.m.
Created at: April 10, 2026, 3:49 a.m.