Triple

T24307971
Position Surface form Disambiguated ID Type / Status
Subject burial of Aminah bint Wahb E612584 entity
Predicate hasAssociatedRoute P4374 FINISHED
Object Mecca–Yathrib caravan route
The Mecca–Yathrib caravan route was an important pre-Islamic trade and travel corridor in the Arabian Peninsula linking the cities of Mecca and Yathrib (later Medina).
 E1629230 NE FINISHED

How this triple was built (3 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: Mecca–Yathrib caravan route | Statement: [burial of Aminah bint Wahb, hasAssociatedRoute, Mecca–Yathrib caravan route]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mecca–Yathrib caravan route
Triple: [burial of Aminah bint Wahb, hasAssociatedRoute, Mecca–Yathrib caravan route]
Generated description
The Mecca–Yathrib caravan route was an important pre-Islamic trade and travel corridor in the Arabian Peninsula linking the cities of Mecca and Yathrib (later Medina).
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAssociatedRoute
Context triple: [burial of Aminah bint Wahb, hasAssociatedRoute, Mecca–Yathrib caravan route]
  • A. hasRoute chosen
    Indicates that there exists a path or connection enabling travel or communication from one entity to another.
  • B. hasComponentRoute
    Indicates that one route includes another route as a constituent or subordinate part of its overall structure.
  • C. hasPrimaryRoute
    Indicates that one entity is designated as the main or principal route associated with another entity.
  • D. hasCommonRoute
    Indicates that two or more entities share at least one overlapping or identical route or path.
  • E. hasRouteConsideration
    Indicates that one entity takes another entity into account when planning, evaluating, or determining a route.
  • F. None of above.

Provenance (6 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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2922821248190a1b274f839251ddc completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9d92dec81909afe3a9c58121dac completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcb9821dc81909eda37ccba173c7c completed May 22, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcc2cd0108190a7531d50f6be2386 completed May 22, 2026, 3:23 a.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 1:31 a.m.