Triple

T26138072
Position Surface form Disambiguated ID Type / Status
Subject منف E659435 entity
Predicate يقع_بالقرب_من P61362 FINISHED
Object حلوان
حلوان مدينة مصرية تقع جنوب القاهرة وتُعرف بتاريخها العريق وينابيعها المعدنية ومجمعاتها الصناعية.
 E1711113 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: حلوان | Statement: [منف, يقع_بالقرب_من, حلوان]
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: حلوان
Triple: [منف, يقع_بالقرب_من, حلوان]
Generated description
حلوان مدينة مصرية تقع جنوب القاهرة وتُعرف بتاريخها العريق وينابيعها المعدنية ومجمعاتها الصناعية.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: يقع_بالقرب_من
Context triple: [منف, يقع_بالقرب_من, حلوان]
  • A. oftenLocatedNear
    Indicates that one entity is frequently found in close physical proximity to another entity.
  • B. nearbyTo chosen
    Indicates that one entity is located close in distance or position to another entity.
  • C. situatedNextTo
    Indicates that one entity is located immediately beside another, with no significant separation between them.
  • D. meetsNear
    Indicates that two entities meet or come together at a location that is in close proximity to a specified reference point or area.
  • E. locatedNearPass
    Indicates that one entity is situated close to a mountain pass or similar passageway.
  • 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60be1d2408190820365bf7d8436bd completed May 2, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127667a6c8190a8ff5bc95fdedad3 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a114b4c88dc81909e4c49446d1394d0 completed May 23, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a114bae57248190ab262e9736dd2f61 completed May 23, 2026, 6:39 a.m.
PD Predicate disambiguation batch_69f5f7fd90fc81909055b211368f9139 completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 8:18 p.m.