Triple

T2481284
Position Surface form Disambiguated ID Type / Status
Subject Cairo Governorate E55820 entity
Predicate contains P35 FINISHED
Object Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
 E271423 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: Tora | Statement: [Cairo Governorate, contains, Tora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tora
Context triple: [Cairo Governorate, contains, Tora]
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Tomigusuku
    Tomigusuku is a coastal city on Japan’s Okinawa Island known for its proximity to Naha and its blend of urban development with traditional Ryukyuan culture.
  • E. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • 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: Tora
Triple: [Cairo Governorate, contains, Tora]
Generated description
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tora
Target entity description: Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Tomigusuku
    Tomigusuku is a coastal city on Japan’s Okinawa Island known for its proximity to Naha and its blend of urban development with traditional Ryukyuan culture.
  • E. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd161bf3c8190834502968180e9cf completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b48d0881909442717d318a6f05 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1c4909888190aa6bc4f9731a8c68 completed March 9, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69af1d2adea08190899d0dcd8d1c0bc7 completed March 9, 2026, 7:19 p.m.
Created at: March 6, 2026, 9:45 p.m.