Triple

T8411366
Position Surface form Disambiguated ID Type / Status
Subject Zakarpattia Oblast E198630 entity
Predicate hasMajorRiver P165 FINISHED
Object Latorica
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
 E731520 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: Latorica | Statement: [Zakarpattia Oblast, hasMajorRiver, Latorica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Latorica
Context triple: [Zakarpattia Oblast, hasMajorRiver, Latorica]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • C. Larena
    Larena is a coastal municipality on Siquijor Island in the Philippines known historically as a key commercial and educational center of the province.
  • D. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • E. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • 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: Latorica
Triple: [Zakarpattia Oblast, hasMajorRiver, Latorica]
Generated description
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Latorica
Target entity description: Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • C. Larena
    Larena is a coastal municipality on Siquijor Island in the Philippines known historically as a key commercial and educational center of the province.
  • D. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • E. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e0341c819080506e696131671e completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0317cb188190b207bcaffb629a75 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.