Triple

T16448553
Position Surface form Disambiguated ID Type / Status
Subject Val Venosta E399493 entity
Predicate contains P35 FINISHED
Object Laces
Laces is a municipality in the Val Venosta region of South Tyrol in northern Italy, known for its alpine landscapes, orchards, and outdoor recreation.
 E1213211 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: Laces | Statement: [Val Venosta, contains, Laces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laces
Context triple: [Val Venosta, contains, Laces]
  • A. Shoe
    Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
  • B. Laced
    Laced is a mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
  • C. LACES
    LACES is a highly regarded magnet public school in Los Angeles known for its rigorous college-preparatory curriculum and diverse student body.
  • D. Sneakers
    "Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
  • E. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • 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: Laces
Triple: [Val Venosta, contains, Laces]
Generated description
Laces is a municipality in the Val Venosta region of South Tyrol in northern Italy, known for its alpine landscapes, orchards, and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laces
Target entity description: Laces is a municipality in the Val Venosta region of South Tyrol in northern Italy, known for its alpine landscapes, orchards, and outdoor recreation.
  • A. Shoe
    Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
  • B. Laced
    Laced is a mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
  • C. LACES
    LACES is a highly regarded magnet public school in Los Angeles known for its rigorous college-preparatory curriculum and diverse student body.
  • D. Sneakers
    "Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
  • E. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a0046833e208190a0e1e37fc24c09e0 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00471604f88190b7cc58a77b861585 completed May 10, 2026, 8:51 a.m.
Created at: April 10, 2026, 5:10 a.m.