Triple

T8380013
Position Surface form Disambiguated ID Type / Status
Subject Melid region E197663 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Melid E729864 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: Melid | Statement: [Melid region, hasUrbanCenter, Melid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melid
Context triple: [Melid region, hasUrbanCenter, Melid]
  • A. Melid chosen
    Melid was an ancient city in Anatolia, known as a significant cultural and political center in the region during the early first millennium BCE.
  • B. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Pandimelam
    Pandimelam is a grand traditional percussion ensemble of Kerala, featuring instruments like the chenda and ilathalam, performed during temple festivals such as Thrissur Pooram.
  • E. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c57080819097eef2b7e46eaaee completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d14baf88190bc260efda7d0fc0d completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:02 p.m.