Triple

T4413473
Position Surface form Disambiguated ID Type / Status
Subject Venta E94906 entity
Predicate hasTributary P415 FINISHED
Object Abava
Abava is a river in western Latvia known for flowing through the scenic Abava Valley before joining the larger Venta River.
E436951 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: Abava | Statement: [Venta, hasTributary, Abava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abava
Context triple: [Venta, hasTributary, Abava]
  • A. Nitra
    Nitra is one of the oldest cities in Slovakia, known for its historic castle, early Christian heritage, and role as a cultural and academic center.
  • B. Lozova
    Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
  • C. Lovech
    Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
  • D. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • E. Dubnica nad Váhom
    Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
  • 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: Abava
Triple: [Venta, hasTributary, Abava]
Generated description
Abava is a river in western Latvia known for flowing through the scenic Abava Valley before joining the larger Venta River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abava
Target entity description: Abava is a river in western Latvia known for flowing through the scenic Abava Valley before joining the larger Venta River.
  • A. Nitra
    Nitra is one of the oldest cities in Slovakia, known for its historic castle, early Christian heritage, and role as a cultural and academic center.
  • B. Lozova
    Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
  • C. Lovech
    Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
  • D. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • E. Dubnica nad Váhom
    Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:29 p.m.