Triple

T37090815
Position Surface form Disambiguated ID Type / Status
Subject Frohnhofen E918407 entity
Predicate hasLocalAdministrationSeatIn P191200 FINISHED
Object Hadamar
Hadamar is a small town in the German state of Hesse, historically known for its baroque palace and as the site of a Nazi euthanasia center during World War II.
 E216251 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: Hadamar | Statement: [Frohnhofen, hasLocalAdministrationSeatIn, Hadamar]
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: Hadamar
Triple: [Frohnhofen, hasLocalAdministrationSeatIn, Hadamar]
Generated description
Hadamar is a small town in the German state of Hesse, historically known for its baroque palace and as the site of a Nazi euthanasia center during World War II.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLocalAdministrationSeatIn
Context triple: [Frohnhofen, hasLocalAdministrationSeatIn, Hadamar]
  • A. hasSeatOfAdministration
    Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
  • B. hasMunicipalLeaderSeat
    Indicates that a specific location serves as the official seat or office location of a municipal leader (e.g., mayor) for a municipality.
  • C. hasLocalGovernmentOffice
    Indicates that a local government office is present or established within a specified location or jurisdiction.
  • D. seatOfLocalGovernment chosen
    Indicates that one entity serves as the administrative center or headquarters where the local government of another entity is based and operates.
  • E. servesAsMunicipalAuthorityFor
    Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
  • F. None of above.

Provenance (6 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_69f76e9952b88190a6fe01ba01476520 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff7ae5d088819089aa3b6360b6b749 completed May 9, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a403601f0c48190b815f9a7d01fdc0f completed June 27, 2026, 8:43 p.m.
NEDg Description generation batch_6a40370e29b88190896e161008cb4262 completed June 27, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_6a4038978d88819094f50792d0db95ee completed June 27, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69ff7a4df6488190bf60d675b36b1d6d completed May 9, 2026, 6:17 p.m.
Created at: May 3, 2026, 4:14 p.m.