Triple

T14096150
Position Surface form Disambiguated ID Type / Status
Subject باب الأسباط E339257 entity
Predicate يستخدم من قبل P22634 FINISHED
Object الزوار القادمين من جهة جبل الزيتون 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: الزوار القادمين من جهة جبل الزيتون | Statement: [باب الأسباط, يستخدم من قبل, الزوار القادمين من جهة جبل الزيتون]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يستخدم من قبل
Context triple: [باب الأسباط, يستخدم من قبل, الزوار القادمين من جهة جبل الزيتون]
  • A. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • B. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. areUsedBy chosen
    Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
  • D. usedDuring
    Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
  • E. usedBetween
    Indicates that something serves as a means, medium, or shared resource connecting or operating jointly between two entities.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
PD Predicate disambiguation batch_69de05b2f7e481908a9a7d40153234c0 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.