Triple

T24544430
Position Surface form Disambiguated ID Type / Status
Subject Sa'i E607181 entity
Predicate involvesWalkingBetween P90518 FINISHED
Object Safa
Safa is one of the two small hills in Mecca between which Muslims walk back and forth during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
E1638901 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: Safa | Statement: [Sa'i, involvesWalkingBetween, Safa]
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: Safa
Triple: [Sa'i, involvesWalkingBetween, Safa]
Generated description
Safa is one of the two small hills in Mecca between which Muslims walk back and forth during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesWalkingBetween
Context triple: [Sa'i, involvesWalkingBetween, Safa]
  • A. walkThrough
    Indicates moving through or along the interior or extent of something, typically traversing a space or environment from one side or point to another.
  • B. hasWalkingRouteType
    Indicates that an entity is associated with a specific type or category of walking route (e.g., trail, path, or walking itinerary).
  • C. hasWalkingPathAround
    Indicates that one entity has a walking path that encircles or runs around another entity.
  • D. hasWalkingRouteConnection chosen
    Indicates that there is a walkable path or route directly connecting two locations.
  • E. walks
    Indicates that an entity moves on foot from one place to another, typically at a regular, moderate pace.
  • 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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0feea8d17c8190912b4efee020af73 completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fef6feb088190870b41df1edb338e completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff08d9fac81909ea8af6e6b10102a completed May 22, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:26 a.m.