Triple

T23891347
Position Surface form Disambiguated ID Type / Status
Subject New Frankfurt E600777 entity
Predicate mayorDuringProject P153956 FINISHED
Object Ludwig Landmann
Ludwig Landmann was a German liberal politician who served as mayor of Frankfurt am Main during the Weimar Republic and promoted major urban development and housing reforms.
 E2284533 NE FINISHED

How this triple was built (3 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: Ludwig Landmann | Statement: [New Frankfurt, mayorDuringProject, Ludwig Landmann]
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: Ludwig Landmann
Triple: [New Frankfurt, mayorDuringProject, Ludwig Landmann]
Generated description
Ludwig Landmann was a German liberal politician who served as mayor of Frankfurt am Main during the Weimar Republic and promoted major urban development and housing reforms.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: mayorDuringProject
Context triple: [New Frankfurt, mayorDuringProject, Ludwig Landmann]
  • A. mayorRoleTypically
    Indicates that the specified role or position is typically held by, or commonly associated with, a mayor.
  • B. majorProject
    Indicates that an entity is a primary, large-scale, or most significant project associated with another entity.
  • C. mayorType
    Indicates the specific category or role classification of a mayor in relation to their office or jurisdiction.
  • D. mayorAppointment
    Indicates that one entity appoints or designates another entity to serve in the role of mayor.
  • E. mayorSelection
    Indicates the process or outcome of choosing or appointing someone to serve as mayor of a place.
  • F. None of above. chosen

Provenance (7 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_69e295341ac0819080647f2908af793c completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cd036dd48190be508063b18762a4 completed April 29, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a43c158c8bc8190b035e44dc64390c2 completed June 30, 2026, 1:15 p.m.
NEDg Description generation batch_6a43c31ba7ac8190909cf2a56a53373c completed June 30, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_6a43c37a72388190a26815c77320fd89 completed June 30, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f1614e24b48190a1c8fb5b7c75ee0f completed April 29, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f167dca3608190ace9d2eef56b2af6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 8:25 p.m.