Triple

T15795217
Position Surface form Disambiguated ID Type / Status
Subject Georgian highlands E382959 entity
Predicate containsSettlement P847 FINISHED
Object Juta E463347 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: Juta | Statement: [Georgian highlands, containsSettlement, Juta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juta
Context triple: [Georgian highlands, containsSettlement, Juta]
  • A. Juta chosen
    Juta is a small mountainous village in northeastern Georgia, known as a gateway to the Chaukhi Massif and a popular destination for trekking and alpine tourism.
  • B. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • C. Nairai
    Nairai is an island in Fiji’s Lomaiviti archipelago, known for its rural villages, traditional Fijian culture, and surrounding coral reefs.
  • D. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • E. Ganta
    Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dc887081909d682ae153f06d97 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.