Triple

T9767510
Position Surface form Disambiguated ID Type / Status
Subject Ternopil Oblast E237032 entity
Predicate contains P35 FINISHED
Object Terebovlia
Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
 E821489 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: Terebovlia | Statement: [Ternopil Oblast, contains, Terebovlia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terebovlia
Context triple: [Ternopil Oblast, contains, Terebovlia]
  • A. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • B. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • C. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • D. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • E. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • 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: Terebovlia
Triple: [Ternopil Oblast, contains, Terebovlia]
Generated description
Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terebovlia
Target entity description: Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
  • A. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • B. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • C. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • D. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • E. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c412f0a48190b59d030b703a0e45 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4eb7a0481908bbd72f6d28d4746 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:25 p.m.