Triple

T22277730
Position Surface form Disambiguated ID Type / Status
Subject Tichá Orlice E550649 entity
Predicate flowsThrough P225 FINISHED
Object Červená Voda
Červená Voda is a municipality and village in the Pardubice Region of the Czech Republic, situated in the Orlické Mountains near the Polish border.
 E1528996 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: Červená Voda | Statement: [Tichá Orlice, flowsThrough, Červená Voda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Červená Voda
Context triple: [Tichá Orlice, flowsThrough, Červená Voda]
  • A. Ribno
    Ribno is a small village in northwestern Slovenia, situated near the resort town of Bled and known for its scenic Alpine surroundings.
  • B. Czarna Woda
    Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
  • C. Czarna Woda
    Czarna Woda is a river in southwestern Poland that serves as a tributary of the Bóbr River within the Oder river basin.
  • D. Vodnjese
    Vodnjese is a local dialect of the Istriot language traditionally spoken in and around the town of Vodnjan in Istria.
  • E. Velké Poříčí
    Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
  • 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: Červená Voda
Triple: [Tichá Orlice, flowsThrough, Červená Voda]
Generated description
Červená Voda is a municipality and village in the Pardubice Region of the Czech Republic, situated in the Orlické Mountains near the Polish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Červená Voda
Target entity description: Červená Voda is a municipality and village in the Pardubice Region of the Czech Republic, situated in the Orlické Mountains near the Polish border.
  • A. Ribno
    Ribno is a small village in northwestern Slovenia, situated near the resort town of Bled and known for its scenic Alpine surroundings.
  • B. Czarna Woda
    Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
  • C. Czarna Woda
    Czarna Woda is a river in southwestern Poland that serves as a tributary of the Bóbr River within the Oder river basin.
  • D. Vodnjese
    Vodnjese is a local dialect of the Istriot language traditionally spoken in and around the town of Vodnjan in Istria.
  • E. Velké Poříčí
    Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca612008190bcb1c38523223ed7 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0ac0d258d88190a73427e02373a4bc completed May 18, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0ac1e9666c8190b183c069deaf487c completed May 18, 2026, 7:38 a.m.
Created at: April 16, 2026, 8:40 p.m.