Triple

T22836378
Position Surface form Disambiguated ID Type / Status
Subject Alta Badia E565957 entity
Predicate offersViewOf P3821 FINISHED
Object Lavarella
Lavarella is a prominent mountain peak in the Dolomites of northern Italy, known for its striking limestone cliffs and popular hiking and climbing routes.
 E1557595 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: Lavarella | Statement: [Alta Badia, offersViewOf, Lavarella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lavarella
Context triple: [Alta Badia, offersViewOf, Lavarella]
  • A. Catarella
    Catarella is a comically clumsy yet loyal police officer and switchboard operator in Andrea Camilleri’s Inspector Montalbano series.
  • B. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • C. Ligourio
    Ligourio is a small town in the Argolis region of the Peloponnese in Greece, known as the gateway to the nearby ancient theater of Epidaurus.
  • D. Salamina
    Salamina is the main town and administrative center of Salamis Island in Greece, known for its coastal setting and role as the island’s primary hub of local life and services.
  • E. Salamina
    Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
  • 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: Lavarella
Triple: [Alta Badia, offersViewOf, Lavarella]
Generated description
Lavarella is a prominent mountain peak in the Dolomites of northern Italy, known for its striking limestone cliffs and popular hiking and climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lavarella
Target entity description: Lavarella is a prominent mountain peak in the Dolomites of northern Italy, known for its striking limestone cliffs and popular hiking and climbing routes.
  • A. Catarella
    Catarella is a comically clumsy yet loyal police officer and switchboard operator in Andrea Camilleri’s Inspector Montalbano series.
  • B. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • C. Ligourio
    Ligourio is a small town in the Argolis region of the Peloponnese in Greece, known as the gateway to the nearby ancient theater of Epidaurus.
  • D. Salamina
    Salamina is the main town and administrative center of Salamis Island in Greece, known for its coastal setting and role as the island’s primary hub of local life and services.
  • E. Salamina
    Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2f09608190bc8e465e53b39e2e completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b1c6c08190ad3c599ef993c9d0 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8666f608190b512aa4c8442f6c1 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0baa4decf881909774facad2cae93d completed May 19, 2026, 12:09 a.m.
Created at: April 17, 2026, 3:35 p.m.