Triple

T7857086
Position Surface form Disambiguated ID Type / Status
Subject Garden Avenue, Shakarparian E182404 entity
Predicate locatedIn P40 FINISHED
Object Shakarparian E183052 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: Shakarparian | Statement: [Garden Avenue, Shakarparian, locatedIn, Shakarparian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shakarparian
Context triple: [Garden Avenue, Shakarparian, locatedIn, Shakarparian]
  • A. Shakarparian chosen
    Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
  • B. Jhakri
    Jhakri is a small town in Himachal Pradesh, India, known primarily for its proximity to the Nathpa Jhakri hydroelectric dam on the Sutlej River.
  • C. Kalol
    Kalol is a town and industrial hub in the Indian state of Gujarat, situated within the Gandhinagar district.
  • D. Shahi
    Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
  • E. Ghunsa
    Ghunsa is a remote Himalayan village in eastern Nepal that serves as a key gateway and base for treks and expeditions around the Kangchenjunga region.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a75de548190af5653409a3b3881 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b2e2980819083369668938bae9c completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:52 p.m.