Triple

T4936342
Position Surface form Disambiguated ID Type / Status
Subject Hadrianopolis E110819 entity
Predicate hasLegacyAs P267 FINISHED
Object important historical city in Thrace 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: important historical city in Thrace | Statement: [Hadrianopolis, hasLegacyAs, important historical city in Thrace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegacyAs
Context triple: [Hadrianopolis, hasLegacyAs, important historical city in Thrace]
  • A. hasLegacy chosen
    Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
  • B. hasPartInLegacy
    Indicates that an entity includes another entity as a component or constituent specifically within its legacy or historically inherited structure.
  • C. hasLegacyInstitution
    Indicates that an entity is historically derived from, or continues the role or traditions of, an earlier institution.
  • D. hasHistoricalPrecursor
    Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
  • E. hasTraditionalBase
    Indicates that something is supported by, built upon, or derived from an established traditional foundation or practice.
  • F. None of above.

Provenance (3 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7085b1dc819099408f6503f0210f completed March 20, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69bd6c389b9881908ad7fb1c5393c1b1 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:30 p.m.