Triple

T15539110
Position Surface form Disambiguated ID Type / Status
Subject Aš E370428 entity
Predicate hasLandmark P105 FINISHED
Object Aš Town Hall
Aš Town Hall is a historic municipal building in the Czech town of Aš that serves as the center of local government and civic administration.
 E1162175 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: Aš Town Hall | Statement: [Aš, hasLandmark, Aš Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aš Town Hall
Context triple: [Aš, hasLandmark, Aš Town Hall]
  • A. The Town Hall
    The Town Hall is a historic performance venue in Midtown Manhattan, New York City, renowned for its concerts, lectures, and cultural events.
  • B. Ashton Town Hall
    Ashton Town Hall is a historic municipal building and prominent civic landmark located in the town centre of Ashton-under-Lyne, Greater Manchester, England.
  • C. Allgood Town Hall
    Allgood Town Hall is the primary municipal building serving as the administrative and civic center for the town of Allgood, Alabama.
  • D. Douglas Town Hall
    Douglas Town Hall is the principal municipal building and administrative center of the town of Douglas on the Isle of Man.
  • E. New Town Hall
    New Town Hall is a modern administrative building in Regensburg that serves as part of the city’s central municipal government complex.
  • 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: Aš Town Hall
Triple: [Aš, hasLandmark, Aš Town Hall]
Generated description
Aš Town Hall is a historic municipal building in the Czech town of Aš that serves as the center of local government and civic administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aš Town Hall
Target entity description: Aš Town Hall is a historic municipal building in the Czech town of Aš that serves as the center of local government and civic administration.
  • A. The Town Hall
    The Town Hall is a historic performance venue in Midtown Manhattan, New York City, renowned for its concerts, lectures, and cultural events.
  • B. Ashton Town Hall
    Ashton Town Hall is a historic municipal building and prominent civic landmark located in the town centre of Ashton-under-Lyne, Greater Manchester, England.
  • C. Allgood Town Hall
    Allgood Town Hall is the primary municipal building serving as the administrative and civic center for the town of Allgood, Alabama.
  • D. Douglas Town Hall
    Douglas Town Hall is the principal municipal building and administrative center of the town of Douglas on the Isle of Man.
  • E. New Town Hall
    New Town Hall is a modern administrative building in Regensburg that serves as part of the city’s central municipal government complex.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04430b5188190a555a3cd4fb0c61c completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:07 a.m.