Triple

T11540234
Position Surface form Disambiguated ID Type / Status
Subject Zero Point Interchange, Islamabad E273654 entity
Predicate nearbyLandmark P350 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: [Zero Point Interchange, Islamabad, nearbyLandmark, Shakarparian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shakarparian
Context triple: [Zero Point Interchange, Islamabad, nearbyLandmark, 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. Shekhani
    Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • C. Banshiwala
    Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
  • D. Bawarchi
    Bawarchi is a 1972 Hindi comedy-drama film directed by Hrishikesh Mukherjee, known for its heartwarming story about a mysterious cook who transforms a quarrelsome joint family.
  • E. 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.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886deed5c81908e5c38156064f882 completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e685ab77908190ac5d59cf2b8c96bf completed April 20, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:37 p.m.