Triple

T5488328
Position Surface form Disambiguated ID Type / Status
Subject Saka E123639 entity
Predicate associatedWith P37 FINISHED
Object Tumshuq E522301 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: Tumshuq | Statement: [Saka, associatedWith, Tumshuq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumshuq
Context triple: [Saka, associatedWith, Tumshuq]
  • A. Tumshuq chosen
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • B. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • C. Tuder
    Tuder was an important ancient Umbrian settlement in central Italy, known today as the hilltop town of Todi.
  • D. Tutuala
    Tutuala is a coastal village and suco at the eastern tip of Timor-Leste, known as the gateway to the nearby Jaco Island and the surrounding protected natural areas.
  • E. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9264d014819097c83bb5c2bb8c39 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77b59ef881909c5968194336b101 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 2:10 p.m.