Triple

T7456848
Position Surface form Disambiguated ID Type / Status
Subject Tawaf al-Wada E172146 entity
Predicate alsoKnownAs P39 FINISHED
Object Farewell Tawaf
Farewell Tawaf is the final circumambulation of the Kaaba performed by pilgrims before leaving Mecca at the end of Hajj or Umrah.
 E665810 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: Farewell Tawaf | Statement: [Tawaf al-Wada, alsoKnownAs, Farewell Tawaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farewell Tawaf
Context triple: [Tawaf al-Wada, alsoKnownAs, Farewell Tawaf]
  • A. Muntaha al-Iradat
    Muntaha al-Iradat is a classical Hanbali fiqh (Islamic jurisprudence) manual that became one of the key reference works in later Hanbali legal scholarship.
  • B. Badhl al-Majhud
    Badhl al-Majhud is a renowned multi-volume scholarly commentary on the hadith collection Sunan Abu Dawud, widely used in advanced Islamic studies.
  • C. Khatima
    Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
  • D. Fanaa
    Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
  • E. Al-Waqi'ah
    Al-Waqi'ah is the 56th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the division of people into distinct groups based on their deeds.
  • 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: Farewell Tawaf
Triple: [Tawaf al-Wada, alsoKnownAs, Farewell Tawaf]
Generated description
Farewell Tawaf is the final circumambulation of the Kaaba performed by pilgrims before leaving Mecca at the end of Hajj or Umrah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farewell Tawaf
Target entity description: Farewell Tawaf is the final circumambulation of the Kaaba performed by pilgrims before leaving Mecca at the end of Hajj or Umrah.
  • A. Muntaha al-Iradat
    Muntaha al-Iradat is a classical Hanbali fiqh (Islamic jurisprudence) manual that became one of the key reference works in later Hanbali legal scholarship.
  • B. Badhl al-Majhud
    Badhl al-Majhud is a renowned multi-volume scholarly commentary on the hadith collection Sunan Abu Dawud, widely used in advanced Islamic studies.
  • C. Khatima
    Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
  • D. Fanaa
    Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
  • E. Al-Waqi'ah
    Al-Waqi'ah is the 56th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the division of people into distinct groups based on their deeds.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c73ce081909e31e272c8a752b6 completed March 28, 2026, 7:11 p.m.
NEDg Description generation batch_69c82bd3fe8c819098afb0d51e69383b completed March 28, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69c82c2437d08190a1b4cf44cd51df03 completed March 28, 2026, 7:29 p.m.
Created at: March 27, 2026, 3:15 p.m.