Triple

T19118683
Position Surface form Disambiguated ID Type / Status
Subject Nishat Bagh E467977 entity
Predicate waterSource P4102 FINISHED
Object Zabarwan Mountains NE NERFINISHED

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: Zabarwan Mountains | Statement: [Nishat Bagh, waterSource, Zabarwan Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zabarwan Mountains
Context triple: [Nishat Bagh, waterSource, Zabarwan Mountains]
  • A. Zabarwan Range chosen
    The Zabarwan Range is a sub-mountain range of the Himalayas in Jammu and Kashmir, India, known for its scenic peaks overlooking Srinagar and its famous lakes and gardens.
  • B. Sentinel Range
    Sentinel Range is a major mountain range in Antarctica’s Ellsworth Mountains, known for containing Vinson Massif, the continent’s highest peak.
  • C. Leitha Mountains
    The Leitha Mountains are a low, forested mountain range in eastern Austria that form part of the natural border between Lower Austria and Burgenland.
  • D. Masherbrum Mountains
    The Masherbrum Mountains are a subrange of Pakistan’s Karakoram noted for their dramatic, glaciated peaks, including the prominent Masherbrum (K1).
  • E. Lechkhumi mountains
    The Lechkhumi Mountains are a scenic mountain range in western Georgia known for their rugged landscapes, deep gorges, and rich biodiversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.