Triple

T10018340
Position Surface form Disambiguated ID Type / Status
Subject Kalhu E199552 entity
Predicate alsoKnownAs P39 FINISHED
Object Calah E771653 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: Calah | Statement: [Kalhu, alsoKnownAs, Calah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calah
Context triple: [Kalhu, alsoKnownAs, Calah]
  • A. Calah chosen
    Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
  • B. Cumae
    Cumae was an ancient Greek colony in Italy, renowned as one of the earliest Hellenic settlements in the West and famous for its oracle, the Cumaean Sibyl.
  • C. Naachtún
    Naachtún is an ancient Maya archaeological site in northern Guatemala known for its remote jungle location and extensive ruins of a major Classic-period city.
  • D. Kulun
    Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
  • E. Seibal
    Seibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and strategic location along the Usumacinta River.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aa319508190b85b5a5f78603b6a completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:53 p.m.