Triple

T4734868
Position Surface form Disambiguated ID Type / Status
Subject Lake Hallwil E105099 entity
Predicate inflow P415 FINISHED
Object Aabach
Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
E464400 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: Aabach | Statement: [Lake Hallwil, inflow, Aabach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aabach
Context triple: [Lake Hallwil, inflow, Aabach]
  • A. Achim
    Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
  • B. Oderberg
    Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
  • C. Bassein
    Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
  • D. Abavo
    Abavo is a town in Delta State, Nigeria, known as the birthplace of former Nigerian footballer and coach Sunday Oliseh.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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: Aabach
Triple: [Lake Hallwil, inflow, Aabach]
Generated description
Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aabach
Target entity description: Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
  • A. Achim
    Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
  • B. Oderberg
    Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
  • C. Bassein
    Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
  • D. Abavo
    Abavo is a town in Delta State, Nigeria, known as the birthplace of former Nigerian footballer and coach Sunday Oliseh.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd648148b48190ae30631115339ba1 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b0b8d08190ad1cd262ee870f08 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1485bcf0819096693abc5fbf34e3 completed March 21, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69be153db02881908a28b3ede1fdcb54 completed March 21, 2026, 3:49 a.m.
Created at: March 20, 2026, 1:19 p.m.