Triple

T21502835
Position Surface form Disambiguated ID Type / Status
Subject Ebersdorf E530521 entity
Predicate governmentTypeAsCapital P144639 FINISHED
Object monarchy LITERAL FINISHED

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: monarchy | Statement: [Ebersdorf, governmentTypeAsCapital, monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeAsCapital
Context triple: [Ebersdorf, governmentTypeAsCapital, monarchy]
  • A. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • B. governmentTypeStrengthened
    Indicates that the form or structure of a government has been reinforced, consolidated, or made more powerful or stable relative to its previous state.
  • C. governmentTypeSupported
    Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
  • D. typeOfGovernmentAfter
    Indicates the form of government that exists or is established in a place following a specified event or time period.
  • E. typeOfPolity
    Indicates that one entity is a political unit and the other specifies the kind or classification of that polity (e.g., empire, kingdom, republic).
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5deb388190a89a1f94285b7e55 completed April 23, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e631f6e68081908f5ee4ce7413803e completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e6386c5a4481909c37f7de7e9fc025 completed April 20, 2026, 2:30 p.m.
Created at: April 16, 2026, 6:24 p.m.