Triple

T12635431
Position Surface form Disambiguated ID Type / Status
Subject Valfurva E301749 entity
Predicate hasSubdivision P747 FINISHED
Object Teregua
Teregua is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy’s Lombardy region.
 E996304 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: Teregua | Statement: [Valfurva, hasSubdivision, Teregua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teregua
Context triple: [Valfurva, hasSubdivision, Teregua]
  • A. Khaya
    Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Acacías
    Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
  • D. Gouania
    Gouania is a genus of flowering plants in the buckthorn family, comprising mostly tropical climbing shrubs and vines.
  • E. Guaiúba
    Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
  • 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: Teregua
Triple: [Valfurva, hasSubdivision, Teregua]
Generated description
Teregua is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy’s Lombardy region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teregua
Target entity description: Teregua is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy’s Lombardy region.
  • A. Khaya
    Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Acacías
    Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
  • D. Gouania
    Gouania is a genus of flowering plants in the buckthorn family, comprising mostly tropical climbing shrubs and vines.
  • E. Guaiúba
    Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610fab488190ac6e6d5cf056ae37 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66871998c8190af8bd3f9ec596ada completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:16 p.m.