Triple

T16735121
Position Surface form Disambiguated ID Type / Status
Subject Eidgah Mosque E406695 entity
Predicate hasNameInUrdu P14620 FINISHED
Object عیدگاہ مسجد
عیدگاہ مسجد ایک بڑی جامع مسجد ہے جو عیدین کی اجتماعی نمازوں اور بڑے مذہبی اجتماعات کے لیے مخصوص کھلے یا وسیع عبادت گاہ کے طور پر جانی جاتی ہے۔
 E1230356 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: عیدگاہ مسجد | Statement: [Eidgah Mosque, hasNameInUrdu, عیدگاہ مسجد]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: عیدگاہ مسجد
Context triple: [Eidgah Mosque, hasNameInUrdu, عیدگاہ مسجد]
  • A. Masjid al-Khayf
    Masjid al-Khayf is a historic mosque in Mina near Mecca that serves as an important place of worship for pilgrims during the Hajj.
  • B. Masjid al-Tan‘im
    Masjid al-Tan‘im is a mosque on the outskirts of Mecca commonly used as a miqat where pilgrims enter the state of ihram for performing ‘umrah.
  • C. Goy Masjid
    Goy Masjid is a historic 15th-century Islamic mosque in Tabriz, Iran, renowned for its striking blue tilework and intricate architectural design.
  • D. موتی مسجد
    موتی مسجد ایک تاریخی سفید سنگ مرمر کی مسجد ہے جو دہلی کے لال قلعہ کے اندر مغل دور میں تعمیر کی گئی تھی۔
  • E. Lath Masjid
    Lath Masjid is a historic mosque in Dhar, India, notable for incorporating an ancient iron pillar into its architecture.
  • 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: عیدگاہ مسجد
Triple: [Eidgah Mosque, hasNameInUrdu, عیدگاہ مسجد]
Generated description
عیدگاہ مسجد ایک بڑی جامع مسجد ہے جو عیدین کی اجتماعی نمازوں اور بڑے مذہبی اجتماعات کے لیے مخصوص کھلے یا وسیع عبادت گاہ کے طور پر جانی جاتی ہے۔
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: عیدگاہ مسجد
Target entity description: عیدگاہ مسجد ایک بڑی جامع مسجد ہے جو عیدین کی اجتماعی نمازوں اور بڑے مذہبی اجتماعات کے لیے مخصوص کھلے یا وسیع عبادت گاہ کے طور پر جانی جاتی ہے۔
  • A. Masjid al-Khayf
    Masjid al-Khayf is a historic mosque in Mina near Mecca that serves as an important place of worship for pilgrims during the Hajj.
  • B. Masjid al-Tan‘im
    Masjid al-Tan‘im is a mosque on the outskirts of Mecca commonly used as a miqat where pilgrims enter the state of ihram for performing ‘umrah.
  • C. Goy Masjid
    Goy Masjid is a historic 15th-century Islamic mosque in Tabriz, Iran, renowned for its striking blue tilework and intricate architectural design.
  • D. موتی مسجد
    موتی مسجد ایک تاریخی سفید سنگ مرمر کی مسجد ہے جو دہلی کے لال قلعہ کے اندر مغل دور میں تعمیر کی گئی تھی۔
  • E. Lath Masjid
    Lath Masjid is a historic mosque in Dhar, India, notable for incorporating an ancient iron pillar into its architecture.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c39c570819088723d59242c5c5c completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4c723c8190ad92628f4164d11c completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009e08b56c8190833d5f64945a979b completed May 10, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a009eb209cc819081c5fb2c89583602 completed May 10, 2026, 3:05 p.m.
Created at: April 10, 2026, 5:20 a.m.