Triple

T10618214
Position Surface form Disambiguated ID Type / Status
Subject Kharia E295177 entity
Predicate contactLanguages P8345 FINISHED
Object Sadri E400185 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: Sadri | Statement: [Kharia, contactLanguages, Sadri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadri
Context triple: [Kharia, contactLanguages, Sadri]
  • A. Sadri chosen
    Sadri is an Indo-Aryan language widely used as a lingua franca among tribal and non-tribal communities in eastern and central India, particularly in Jharkhand, Chhattisgarh, and surrounding regions.
  • B. Sidra
    Sidra is a major Libyan oil port and export terminal on the Mediterranean coast, central to the country’s petroleum industry and frequent conflicts over energy infrastructure.
  • C. Sana'i
    Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
  • D. Sindalah
    Sindalah is a luxury island destination in Saudi Arabia’s NEOM mega-development, designed as an exclusive hub for high-end tourism, yachting, and leisure on the Red Sea.
  • E. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b86a5bc8190863034cc91fdbbb9 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:19 p.m.