Triple

T11155696
Position Surface form Disambiguated ID Type / Status
Subject Madnhaya script E263899 entity
Predicate relatedScript P37 FINISHED
Object Serto script E902477 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: Serto script | Statement: [Madnhaya script, relatedScript, Serto script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serto script
Context triple: [Madnhaya script, relatedScript, Serto script]
  • A. Serto script
    The Serto script is a later, more cursive form of the Syriac alphabet widely used in liturgical and literary traditions of several Eastern Christian communities.
  • B. Serto chosen
    Serto is a cursive form of the Syriac alphabet historically used for writing the Syriac language and related Christian liturgical texts.
  • C. Sert
    Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
  • D. Sidetic script
    The Sidetic script is an ancient Anatolian alphabetic writing system used in the city of Side in Pamphylia during the first millennium BCE.
  • E. SERT
    SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46341f224819099dd618b377e5bc2 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.