Triple

T33524769
Position Surface form Disambiguated ID Type / Status
Subject Äußere Neustadt E858607 entity
Predicate lessDamagedThan P177067 FINISHED
Object Dresden city centre NE NERFINISHED

How this triple was built (2 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: Dresden city centre | Statement: [Äußere Neustadt, lessDamagedThan, Dresden city centre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lessDamagedThan
Context triple: [Äußere Neustadt, lessDamagedThan, Dresden city centre]
  • A. damagedIn
    Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
  • B. hasDam
    Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
  • C. hasTypeOfDamage
    Indicates that an entity experiences or exhibits a specific kind or category of damage.
  • D. weakerThan
    Indicates that one entity has less strength, power, or effectiveness than another entity.
  • E. lessActiveThan
    Indicates that one entity exhibits a lower level of activity or engagement compared to another entity.
  • F. None of above. chosen

Provenance (4 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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f85ca7c0819098069384b0d1ca6a completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f6619404819084662aef1238261c completed May 3, 2026, 7:16 a.m.
PDg Predicate description generation batch_69f6f814fcf48190ae4504154d1b2c05 completed May 3, 2026, 7:24 a.m.
Created at: May 1, 2026, 1:39 a.m.