Triple

T1788929
Position Surface form Disambiguated ID Type / Status
Subject Lake Tana E39450 entity
Predicate nearCity P350 FINISHED
Object Gondar E50775 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: Gondar | Statement: [Lake Tana, nearCity, Gondar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gondar
Context triple: [Lake Tana, nearCity, Gondar]
  • A. Lalibela
    Lalibela is a historic town in northern Ethiopia renowned for its 12th–13th century rock-hewn churches, which are among the most important pilgrimage sites of Ethiopian Christianity.
  • B. Gondar region chosen
    The Gondar region is an area in northwestern Ethiopia historically known as a major center of Ethiopian Jewish (Beta Israel) life and culture.
  • C. Akhalkalaki
    Akhalkalaki is a town in southern Georgia known as a regional center in the Samtskhe–Javakheti area, historically significant and situated near the country’s border with Armenia.
  • D. Akhaltsikhe
    Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
  • E. Sighnaghi
    Sighnaghi is a picturesque hilltop town in eastern Georgia known for its well-preserved 18th–19th century architecture, views over the Alazani Valley, and role as a popular tourist destination.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65111e5481909c22abb6ad966814 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d063d48190aef6796ee3957994 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.