Triple

T484645
Position Surface form Disambiguated ID Type / Status
Subject Loire E9847 entity
Predicate hasTributary P415 FINISHED
Object Indre
Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
 E61705 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: Indre | Statement: [Loire, hasTributary, Indre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Indre
Context triple: [Loire, hasTributary, Indre]
  • A. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Karinska
    Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • 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: Indre
Triple: [Loire, hasTributary, Indre]
Generated description
Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Indre
Target entity description: Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
  • A. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Karinska
    Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0ba310c81909645ef7e8a20b52f completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2a78a48190ac5a1e7f57f9dbd1 completed March 1, 2026, 5:53 p.m.
NEDg Description generation batch_69a47f21970081909de5505448372922 completed March 1, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69a47f90b2708190a2a92e5438994f9e completed March 1, 2026, 6:04 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.