Triple

T16184451
Position Surface form Disambiguated ID Type / Status
Subject Nagar Valley E392763 entity
Predicate hasMajorVillage P2321 FINISHED
Object Hoper E1199937 NE FINISHED

How this triple was built (2 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: Hoper | Statement: [Nagar Valley, hasMajorVillage, Hoper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoper
Context triple: [Nagar Valley, hasMajorVillage, Hoper]
  • A. Hoper chosen
    Hoper is a scenic village in Pakistan’s Gilgit-Baltistan region, known for its glacier views, terraced fields, and surrounding high mountain peaks.
  • B. Hopper
    Hopper is an NVIDIA GPU architecture designed for high-performance computing and AI workloads, featuring advanced capabilities such as enhanced Tensor Core acceleration.
  • C. Hopper
    Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
  • D. Hopper
    Hopper is the ruthless grasshopper leader and main villain in Pixar's animated film "A Bug's Life," known for terrorizing an ant colony to maintain his power.
  • E. Hopper
    Hopper is a supporting character in the 2015 romantic comedy film "Mr. Right," involved in the movie’s offbeat, action-driven storyline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205fc080819097858f36253fef7c completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007899b408190abcb7e72bdc81e9d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.