Triple

T6584549
Position Surface form Disambiguated ID Type / Status
Subject Harar Province E159187 entity
Predicate hasHeritageSite P923 FINISHED
Object Harar Jugol E43224 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: Harar Jugol | Statement: [Harar Province, hasHeritageSite, Harar Jugol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harar Jugol
Context triple: [Harar Province, hasHeritageSite, Harar Jugol]
  • A. Harar Jugol chosen
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • B. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • C. Dariba Kalan
    Dariba Kalan is a historic Mughal-era jewelry and silver market lane in Old Delhi, renowned for its traditional ornaments and narrow, bustling bazaar atmosphere.
  • D. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • E. Sawerigadi
    Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeacbde08190a2e4e82cd12bc43f completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d576ab288190ac7e7b58e974697c completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.