Triple

T934824
Position Surface form Disambiguated ID Type / Status
Subject Esther E20171 entity
Predicate setIn P1393 FINISHED
Object Susa E86185 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: Susa | Statement: [Esther, setIn, Susa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susa
Context triple: [Esther, setIn, Susa]
  • A. Susa chosen
    Susa was an ancient city in southwestern Iran that served as a major political and administrative center for several empires, including the Achaemenid Persians.
  • B. Pasargadae
    Pasargadae is the ancient capital of the Achaemenid Empire in present-day Iran, renowned for its archaeological remains and the tomb of Cyrus the Great.
  • C. Samarra
    Samarra is an ancient Iraqi city on the Tigris River renowned for its monumental Islamic architecture, especially the spiral minaret of the Great Mosque of Samarra.
  • D. Sippar
    Sippar was an important ancient Mesopotamian city, renowned as a religious and administrative center particularly associated with the sun god Shamash.
  • E. Nishapur
    Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b363ea5c819098ec1d87f785bad4 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826dec198819084889ea69d53cd6c completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.