Triple

T13450525
Position Surface form Disambiguated ID Type / Status
Subject Sarru-kinu E320595 entity
Predicate nameInAkkadian P46870 FINISHED
Object Šarru-kīn E1040345 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: Šarru-kīn | Statement: [Sarru-kinu, nameInAkkadian, Šarru-kīn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šarru-kīn
Context triple: [Sarru-kinu, nameInAkkadian, Šarru-kīn]
  • A. Šarru-kīn chosen
    Šarru-kīn is the Akkadian name of Sargon II, the Neo-Assyrian king who ruled in the late 8th century BCE and expanded the Assyrian Empire.
  • B. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • C. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • D. Qenneshrin
    Qenneshrin was an ancient town in northern Syria that became an important center of Syriac Christianity and monastic scholarship.
  • E. Tumshuq
    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.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462340548190b156a8213f5e2556 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.