Triple

T5264178
Position Surface form Disambiguated ID Type / Status
Subject Dar al-Sulh E118898 entity
Predicate contrastedWith P278 FINISHED
Object Dar al-Harb E83928 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: Dar al-Harb | Statement: [Dar al-Sulh, contrastedWith, Dar al-Harb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dar al-Harb
Context triple: [Dar al-Sulh, contrastedWith, Dar al-Harb]
  • A. Dar al-Harb chosen
    Dar al-Harb is a classical Islamic jurisprudential term denoting territories outside Muslim rule where Islamic law does not prevail and with which relations may be characterized by potential or actual conflict.
  • B. Dar al-Sulh
    Dar al-Sulh is a classical Islamic legal concept denoting territories outside direct Muslim rule that maintain peaceful relations with Muslim lands through treaties or truces.
  • C. Dar al-Islam
    Dar al-Islam is the collective realm of Muslim-majority lands historically unified by Islamic law, culture, and religious authority.
  • D. El-Radisiyah
    El-Radisiyah is a town located in Egypt’s southern Aswan Governorate along the Nile Valley.
  • E. Al Qunfudhah
    Al Qunfudhah is a coastal city in western Saudi Arabia on the Red Sea, known as a regional port and commercial center within Makkah Province.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c71d308190a42a2da51b4cf93e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.