Triple

T10785401
Position Surface form Disambiguated ID Type / Status
Subject Hay’at Qanāt as-Suways E254437 entity
Predicate shortName P43 FINISHED
Object SCA
SCA is the commonly used abbreviation for Hay’at Qanāt as-Suways, the authority responsible for managing and operating Egypt’s Suez Canal.
 E885814 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: SCA | Statement: [Hay’at Qanāt as-Suways, shortName, SCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCA
Context triple: [Hay’at Qanāt as-Suways, shortName, SCA]
  • A. SCA
    SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
  • B. SCA
    SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
  • C. SCA
    SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
  • D. SCA
    The SCA is South Africa’s highest court of appeal for non-constitutional matters, based in Bloemfontein.
  • E. SCHA
    SCHA is the stock ticker symbol under which Schibsted, a Nordic media and online marketplace company, is traded on financial markets.
  • 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: SCA
Triple: [Hay’at Qanāt as-Suways, shortName, SCA]
Generated description
SCA is the commonly used abbreviation for Hay’at Qanāt as-Suways, the authority responsible for managing and operating Egypt’s Suez Canal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCA
Target entity description: SCA is the commonly used abbreviation for Hay’at Qanāt as-Suways, the authority responsible for managing and operating Egypt’s Suez Canal.
  • A. SCA
    SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
  • B. SCA
    SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
  • C. SCA
    SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
  • D. SCA
    The SCA is South Africa’s highest court of appeal for non-constitutional matters, based in Bloemfontein.
  • E. SCHA
    SCHA is the stock ticker symbol under which Schibsted, a Nordic media and online marketplace company, is traded on financial markets.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d44b488190a9f3ab9b177e737a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5609bf9c81908f47591f74c04701 completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.