Triple

T7019788
Position Surface form Disambiguated ID Type / Status
Subject Colle dell’Agnello E162789 entity
Predicate locatedNear P294 FINISHED
Object Val Varaita
Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
E637694 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: Val Varaita | Statement: [Colle dell’Agnello, locatedNear, Val Varaita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Varaita
Context triple: [Colle dell’Agnello, locatedNear, Val Varaita]
  • A. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • B. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • C. Varvarin
    Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
  • D. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • E. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • 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: Val Varaita
Triple: [Colle dell’Agnello, locatedNear, Val Varaita]
Generated description
Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Val Varaita
Target entity description: Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
  • A. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • B. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • C. Varvarin
    Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
  • D. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • E. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775707e30819088b311a1a87eee79 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77c260d2c8190bb802ca8ce388a00 completed March 28, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69c77c944bf081909335db68da464b4f completed March 28, 2026, 7 a.m.
Created at: March 27, 2026, 2:34 p.m.