Triple

T2055802
Position Surface form Disambiguated ID Type / Status
Subject Lower Austria E45670 entity
Predicate hasRiver P165 FINISHED
Object March
March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
E235334 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: March | Statement: [Lower Austria, hasRiver, March]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: March
Context triple: [Lower Austria, hasRiver, March]
  • A. MARCH
    MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
  • B. April
    April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
  • C. May
    May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
  • D. Maio
    Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
  • E. February
    February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
  • 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: March
Triple: [Lower Austria, hasRiver, March]
Generated description
March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: March
Target entity description: March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
  • A. MARCH
    MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
  • B. April
    April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
  • C. May
    May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
  • D. Maio
    Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
  • E. February
    February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a9ce548190a5a3488fafb2e79e completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae305036d481908120f74426d02ed5 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae31e8373881908feebeff7efb6852 completed March 9, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_69ae328efda081908f2188ef3186ebad completed March 9, 2026, 2:38 a.m.
Created at: March 4, 2026, 7:40 p.m.