Triple

T6198760
Position Surface form Disambiguated ID Type / Status
Subject Val Badia E138575 entity
Predicate river P165 FINISHED
Object Gadera
Gadera is a mountain river in the Dolomites of northern Italy that flows through Val Badia, draining the surrounding alpine valleys.
E575055 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: Gadera | Statement: [Val Badia, river, Gadera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gadera
Context triple: [Val Badia, river, Gadera]
  • A. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • B. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • C. Gdov
    Gdov is a small historic town in western Russia near the Estonian border, known for its medieval fortress and strategic location by Lake Peipus.
  • D. Abava
    Abava is a river in western Latvia known for flowing through the scenic Abava Valley before joining the larger Venta River.
  • E. Nitra
    Nitra is one of the oldest cities in Slovakia, known for its historic castle, early Christian heritage, and role as a cultural and academic 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: Gadera
Triple: [Val Badia, river, Gadera]
Generated description
Gadera is a mountain river in the Dolomites of northern Italy that flows through Val Badia, draining the surrounding alpine valleys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gadera
Target entity description: Gadera is a mountain river in the Dolomites of northern Italy that flows through Val Badia, draining the surrounding alpine valleys.
  • A. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • B. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • C. Gdov
    Gdov is a small historic town in western Russia near the Estonian border, known for its medieval fortress and strategic location by Lake Peipus.
  • D. Abava
    Abava is a river in western Latvia known for flowing through the scenic Abava Valley before joining the larger Venta River.
  • E. Nitra
    Nitra is one of the oldest cities in Slovakia, known for its historic castle, early Christian heritage, and role as a cultural and academic 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06253534c8190aafe70a6cf5a67ec completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f302984819089c6a17dda476a4b completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1c9a4bdd481909f836be4167befea completed March 23, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69c1ca257cb88190bee32a8ecb15c02b completed March 23, 2026, 11:17 p.m.
Created at: March 22, 2026, 4:20 p.m.