Triple

T5387122
Position Surface form Disambiguated ID Type / Status
Subject Engadine E120227 entity
Predicate contains P35 FINISHED
Object Celerina
Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
E515096 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: Celerina | Statement: [Engadine, contains, Celerina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celerina
Context triple: [Engadine, contains, Celerina]
  • A. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Miss Almira Gulch
    Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
  • D. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • E. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • 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: Celerina
Triple: [Engadine, contains, Celerina]
Generated description
Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Celerina
Target entity description: Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
  • A. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Miss Almira Gulch
    Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
  • D. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • E. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f8d81081909174027a4fe640f2 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295542b08190849e48dbf826d9ec completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf2a0aa4608190ad696442aa56dad5 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a64313881908d12d0c27a97927b completed March 21, 2026, 11:31 p.m.
Created at: March 20, 2026, 2:03 p.m.