Triple

T4549517
Position Surface form Disambiguated ID Type / Status
Subject Seljuk Empire E110127 entity
Predicate capital P234 FINISHED
Object Merv E85087 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: Merv | Statement: [Seljuk Empire, capital, Merv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merv
Context triple: [Seljuk Empire, capital, Merv]
  • A. Merv chosen
    Merv was an important ancient oasis city in Central Asia that flourished as a key commercial and cultural hub along the Silk Road.
  • B. Wasilla
    Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
  • C. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • D. Farshut
    Farshut is a town in Upper Egypt known as an agricultural and local commercial center within the Qena region.
  • E. Jowhar
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb94cab408190956ef333aa810a3b completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:05 p.m.