Triple

T1820172
Position Surface form Disambiguated ID Type / Status
Subject Imam Mohammad Ibn Saud Islamic University E40521 entity
Predicate shortName P43 FINISHED
Object IMSIU
IMSIU is a major public Islamic and modern higher education university based in Riyadh, Saudi Arabia.
 E204685 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: IMSIU | Statement: [Imam Mohammad Ibn Saud Islamic University, shortName, IMSIU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IMSIU
Context triple: [Imam Mohammad Ibn Saud Islamic University, shortName, IMSIU]
  • A. IM
    IM is the two-letter ISO 3166-1 alpha-2 country code assigned to the Isle of Man.
  • B. IS
    IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
  • C. ISIS
    ISIS is a violent extremist Islamist militant group known for establishing a self-proclaimed caliphate in parts of Iraq and Syria and carrying out widespread terrorist attacks.
  • D. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • E. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • 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: IMSIU
Triple: [Imam Mohammad Ibn Saud Islamic University, shortName, IMSIU]
Generated description
IMSIU is a major public Islamic and modern higher education university based in Riyadh, Saudi Arabia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IMSIU
Target entity description: IMSIU is a major public Islamic and modern higher education university based in Riyadh, Saudi Arabia.
  • A. IM
    IM is the two-letter ISO 3166-1 alpha-2 country code assigned to the Isle of Man.
  • B. IS
    IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
  • C. ISIS
    ISIS is a violent extremist Islamist militant group known for establishing a self-proclaimed caliphate in parts of Iraq and Syria and carrying out widespread terrorist attacks.
  • D. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • E. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07e9ebc819082566cc98025b4ae completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.