Triple

T5336137
Position Surface form Disambiguated ID Type / Status
Subject Helmand Province E123830 entity
Predicate capital P234 FINISHED
Object Lashkargah E228128 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: Lashkargah | Statement: [Helmand Province, capital, Lashkargah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lashkargah
Context triple: [Helmand Province, capital, Lashkargah]
  • A. Lashkargah chosen
    Lashkargah is a key urban and administrative center in southern Afghanistan, serving as the capital of Helmand Province and a strategic hub in the region.
  • B. Khandhar
    Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
  • C. Mardan
    Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
  • D. Shahhat
    Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar region.
  • E. Mirjaveh
    Mirjaveh is a town in southeastern Iran that serves as a key overland transit point and gateway for trade and travel between Iran and Pakistan.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85b104c081908b81236a0142e1c8 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.