Triple

T13808079
Position Surface form Disambiguated ID Type / Status
Subject Toten E331810 entity
Predicate hasSettlement P1068 FINISHED
Object Lena
Lena is a settlement in the municipality of Toten in Innlandet county, Norway.
E1066060 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: Lena | Statement: [Toten, hasSettlement, Lena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lena
Context triple: [Toten, hasSettlement, Lena]
  • A. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • B. Lena
    Lena is a central female character in François Truffaut’s film "Shoot the Piano Player," serving as a key romantic interest and catalyst in the story’s blend of crime, drama, and melancholy.
  • C. Lena
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • D. Lena Raine
    Lena Raine is a composer and producer best known for her atmospheric and emotional video game soundtracks, including work on titles like Celeste and Minecraft.
  • E. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • 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: Lena
Triple: [Toten, hasSettlement, Lena]
Generated description
Lena is a settlement in the municipality of Toten in Innlandet county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lena
Target entity description: Lena is a settlement in the municipality of Toten in Innlandet county, Norway.
  • A. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • B. Lena
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • C. Lena
    Lena is a central female character in François Truffaut’s film "Shoot the Piano Player," serving as a key romantic interest and catalyst in the story’s blend of crime, drama, and melancholy.
  • D. Lena Raine
    Lena Raine is a composer and producer best known for her atmospheric and emotional video game soundtracks, including work on titles like Celeste and Minecraft.
  • E. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:12 p.m.