Triple

T5916507
Position Surface form Disambiguated ID Type / Status
Subject Haute-Marne E131592 entity
Predicate hasRiver P165 FINISHED
Object Blaise
Blaise is a river in northeastern France that flows through the Haute-Marne department.
 E585456 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: Blaise | Statement: [Haute-Marne, hasRiver, Blaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blaise
Context triple: [Haute-Marne, hasRiver, Blaise]
  • A. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • B. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • C. Brice
    Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
  • D. Baptiste
    Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
  • E. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • 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: Blaise
Triple: [Haute-Marne, hasRiver, Blaise]
Generated description
Blaise is a river in northeastern France that flows through the Haute-Marne department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blaise
Target entity description: Blaise is a river in northeastern France that flows through the Haute-Marne department.
  • A. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • B. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • C. Brice
    Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
  • D. Baptiste
    Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
  • E. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603c7dac48190b742e9e5430b8bde completed March 27, 2026, 4:12 a.m.
NEDg Description generation batch_69c6047bff8c81908cfcaef23b78e022 completed March 27, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69c604e8d2748190b9a0505f6803ad07 completed March 27, 2026, 4:17 a.m.
Created at: March 22, 2026, 3:59 p.m.