Triple

T17133290
Position Surface form Disambiguated ID Type / Status
Subject Vatheia E415773 entity
Predicate locatedIn P40 FINISHED
Object Mani region E1054223 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: Mani region | Statement: [Vatheia, locatedIn, Mani region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mani region
Context triple: [Vatheia, locatedIn, Mani region]
  • A. Mani region chosen
    The Mani region is a rugged, historic area of the southern Peloponnese in Greece, known for its dramatic landscapes, stone tower houses, and fiercely independent cultural heritage.
  • B. Mandar region
    The Mandar region is a coastal area in West Sulawesi, Indonesia, traditionally inhabited and culturally shaped by the Mandar people.
  • C. Tumapel region
    The Tumapel region was a historical area in East Java that became the power base of Ken Angrok and the cradle of the Singhasari kingdom in early Javanese history.
  • D. Nohur region
    The Nohur region is a remote mountainous area in southern Turkmenistan known for its distinct local culture, traditions, and dialect.
  • E. Matsya region
    The Matsya region is a historic cultural area in northwestern India traditionally associated with the ancient Matsya kingdom, encompassing parts of present-day Rajasthan including Alwar.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02ba4cc8190b6f433e08e958d83 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.