Triple

T16448494
Position Surface form Disambiguated ID Type / Status
Subject Prato allo Stelvio E399492 entity
Predicate bordersWith P224 FINISHED
Object Lasa
Lasa is a municipality in South Tyrol in northern Italy, known for its high-quality white marble quarries.
 E1213202 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: Lasa | Statement: [Prato allo Stelvio, bordersWith, Lasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasa
Context triple: [Prato allo Stelvio, bordersWith, Lasa]
  • A. Lasa
    Lasa is a minor Etruscan goddess associated with protection, fate, and often depicted as an attendant or companion to other deities in Etruscan religious art.
  • B. Lapwai
    Lapwai is a small city in north-central Idaho that serves as the seat of the Nez Perce Indian Reservation and a cultural center for the Nez Perce Tribe.
  • C. Mesa
    Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
  • D. Blythe
    Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
  • E. Moab
    Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
  • 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: Lasa
Triple: [Prato allo Stelvio, bordersWith, Lasa]
Generated description
Lasa is a municipality in South Tyrol in northern Italy, known for its high-quality white marble quarries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasa
Target entity description: Lasa is a municipality in South Tyrol in northern Italy, known for its high-quality white marble quarries.
  • A. Lasa
    Lasa is a minor Etruscan goddess associated with protection, fate, and often depicted as an attendant or companion to other deities in Etruscan religious art.
  • B. Lapwai
    Lapwai is a small city in north-central Idaho that serves as the seat of the Nez Perce Indian Reservation and a cultural center for the Nez Perce Tribe.
  • C. Mesa
    Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
  • D. Blythe
    Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
  • E. Moab
    Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
  • 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.