Triple

T6584533
Position Surface form Disambiguated ID Type / Status
Subject Harar Province E159187 entity
Predicate contains P35 FINISHED
Object Harar E221406 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 | Statement: [Harar Province, contains, Harar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harar
Context triple: [Harar Province, contains, Harar]
  • A. Harar chosen
    Harar is a historic fortified city in eastern Ethiopia renowned for its ancient Islamic heritage, distinctive city walls, and status as a UNESCO World Heritage Site.
  • B. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • C. Gash‑Barka
    Gash‑Barka is a largely agricultural region in southwestern Eritrea known for its fertile land and role as one of the country’s main food-producing areas.
  • D. Dakhla
    Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
  • E. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • 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_69c6f78896b48190a8d993c207d01a7e completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:54 p.m.