Triple

T6242363
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro Line 2 E139634 entity
Predicate hasStation P35 FINISHED
Object Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
 E578155 NE FINISHED

How this triple was built (4 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: Mezallat | Statement: [Cairo Metro Line 2, hasStation, Mezallat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mezallat
Context triple: [Cairo Metro Line 2, hasStation, Mezallat]
  • A. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • B. Mu'allaqat
    Mu'allaqat are a celebrated collection of pre-Islamic Arabic odes renowned for their poetic excellence and foundational role in the Arabic literary tradition.
  • C. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • D. Dastan
    Dastan is a legendary Iranian hero and warrior from Persian epic tradition, often associated with the tales surrounding Zal and the Shahnameh.
  • E. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Mezallat
Triple: [Cairo Metro Line 2, hasStation, Mezallat]
Generated description
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mezallat
Target entity description: Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
  • A. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • B. Mu'allaqat
    Mu'allaqat are a celebrated collection of pre-Islamic Arabic odes renowned for their poetic excellence and foundational role in the Arabic literary tradition.
  • C. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • D. Dastan
    Dastan is a legendary Iranian hero and warrior from Persian epic tradition, often associated with the tales surrounding Zal and the Shahnameh.
  • E. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • F. None of above. chosen

Provenance (5 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631933488190838b424ec0fc2155 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e0d62208190928bab473ca64417 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c2158b7b8481909b64931c013cec27 completed March 24, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69c21600f90c8190840f84112f62e311 completed March 24, 2026, 4:41 a.m.
Created at: March 22, 2026, 4:23 p.m.