Triple

T9977055
Position Surface form Disambiguated ID Type / Status
Subject Zaporizhian Sich E196357 entity
Predicate capital P234 FINISHED
Object Pidhirne Sich
Pidhirne Sich was a fortified Cossack stronghold that served as one of the main administrative and military centers of the Zaporizhian Sich in what is now Ukraine.
 E832761 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: Pidhirne Sich | Statement: [Zaporizhian Sich, capital, Pidhirne Sich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pidhirne Sich
Context triple: [Zaporizhian Sich, capital, Pidhirne Sich]
  • A. Perach
    Perach is a small municipality in Bavaria, Germany, situated in the district of Altötting.
  • B. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • C. Pokr Mher
    Pokr Mher is a figure from Armenian epic tradition, often depicted as a mighty yet tragic hero endowed with great strength and a fated destiny.
  • D. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • E. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • 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: Pidhirne Sich
Triple: [Zaporizhian Sich, capital, Pidhirne Sich]
Generated description
Pidhirne Sich was a fortified Cossack stronghold that served as one of the main administrative and military centers of the Zaporizhian Sich in what is now Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pidhirne Sich
Target entity description: Pidhirne Sich was a fortified Cossack stronghold that served as one of the main administrative and military centers of the Zaporizhian Sich in what is now Ukraine.
  • A. Perach
    Perach is a small municipality in Bavaria, Germany, situated in the district of Altötting.
  • B. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • C. Pokr Mher
    Pokr Mher is a figure from Armenian epic tradition, often depicted as a mighty yet tragic hero endowed with great strength and a fated destiny.
  • D. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • E. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84d0d3c8190b268582bb79c8973 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
NEDg Description generation batch_69d241e666a0819087061bf8af397131 completed April 5, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69d24283caa481908d794ea2cd4f9db3 completed April 5, 2026, 11:07 a.m.
Created at: March 30, 2026, 8:48 p.m.