Triple

T36002166
Position Surface form Disambiguated ID Type / Status
Subject باب الرحمة E1041161 entity
Predicate closedToOutsideAccess P119694 FINISHED
Object نعم LITERAL 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: نعم | Statement: [باب الرحمة, closedToOutsideAccess, نعم]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closedToOutsideAccess
Context triple: [باب الرحمة, closedToOutsideAccess, نعم]
  • A. closedToPublic
    Indicates that access to the referenced entity is restricted so that the general public is not allowed to enter or use it.
  • B. closedOffFrom chosen
    Indicates that one entity is isolated, blocked, or prevented from accessing, interacting with, or being influenced by another entity.
  • C. closedForSafety
    Indicates that an entity (such as a place, facility, or route) is temporarily unavailable or inaccessible due to safety concerns or hazards.
  • D. closedFor
    Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
  • E. closedAgainst
    Indicates that an entity has been closed or shut in opposition to, or as a barrier against, another entity.
  • F. None of above.

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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcdf2394748190b35cead3e208447d completed May 7, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69fcdbe344ec8190a0471911952f4b82 completed May 7, 2026, 6:37 p.m.
Created at: May 3, 2026, 4:07 p.m.