Triple

T9278698
Position Surface form Disambiguated ID Type / Status
Subject Val Rendena E223013 entity
Predicate contains P35 FINISHED
Object Darè
Darè is a small village in Trentino, northern Italy, situated in the Val Rendena area of the Italian Alps.
 E788013 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: Darè | Statement: [Val Rendena, contains, Darè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Darè
Context triple: [Val Rendena, contains, Darè]
  • A. Derr
    Derr is an ancient Egyptian site in Lower Nubia known for its rock-cut temple built by Pharaoh Ramesses II.
  • B. Daraw
    Daraw is a town in southern Egypt known historically as a regional trading center, particularly for its camel market, within the Aswan Governorate.
  • C. Deran
    Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
  • D. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • E. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • 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: Darè
Triple: [Val Rendena, contains, Darè]
Generated description
Darè is a small village in Trentino, northern Italy, situated in the Val Rendena area of the Italian Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Darè
Target entity description: Darè is a small village in Trentino, northern Italy, situated in the Val Rendena area of the Italian Alps.
  • A. Derr
    Derr is an ancient Egyptian site in Lower Nubia known for its rock-cut temple built by Pharaoh Ramesses II.
  • B. Daraw
    Daraw is a town in southern Egypt known historically as a regional trading center, particularly for its camel market, within the Aswan Governorate.
  • C. Deran
    Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
  • D. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • E. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cb28e081909b2754756c8f5dd0 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c4f254c819083301449c3e4b11d completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09da280288190b40f145e1836a53f completed April 4, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d09df7c7f48190b36b63227ff539b5 completed April 4, 2026, 5:13 a.m.
Created at: March 30, 2026, 7:34 p.m.