Triple

T11269262
Position Surface form Disambiguated ID Type / Status
Subject یومِ دفاع E266768 entity
Predicate followsCalendar P1818 FINISHED
Object گریگورین کیلنڈر
گریگورین کیلنڈر دنیا بھر میں سب سے زیادہ استعمال ہونے والا سول کیلنڈر ہے جو سال کو ۱۲ مہینوں اور ۳۶۵/۳۶۶ دنوں میں تقسیم کرتا ہے۔
 E915152 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: گریگورین کیلنڈر | Statement: [یومِ دفاع, followsCalendar, گریگورین کیلنڈر]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: گریگورین کیلنڈر
Context triple: [یومِ دفاع, followsCalendar, گریگورین کیلنڈر]
  • A. Nicolaus
    Nicolaus is a Latin given name of Greek origin, historically borne by various religious figures, scholars, and notable individuals across Europe.
  • B. Nicolaus
    Nicolaus is a small unincorporated community in Sutter County, California, located near the Feather River in the Sacramento Valley.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Alfonsine
    Alfonsine is a municipality in Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ravenna.
  • E. Kalends
    Kalends were the first days of each month in the ancient Roman calendar, from which other dates in that month were reckoned.
  • 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: گریگورین کیلنڈر
Triple: [یومِ دفاع, followsCalendar, گریگورین کیلنڈر]
Generated description
گریگورین کیلنڈر دنیا بھر میں سب سے زیادہ استعمال ہونے والا سول کیلنڈر ہے جو سال کو ۱۲ مہینوں اور ۳۶۵/۳۶۶ دنوں میں تقسیم کرتا ہے۔
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: گریگورین کیلنڈر
Target entity description: گریگورین کیلنڈر دنیا بھر میں سب سے زیادہ استعمال ہونے والا سول کیلنڈر ہے جو سال کو ۱۲ مہینوں اور ۳۶۵/۳۶۶ دنوں میں تقسیم کرتا ہے۔
  • A. Nicolaus
    Nicolaus is a Latin given name of Greek origin, historically borne by various religious figures, scholars, and notable individuals across Europe.
  • B. Nicolaus
    Nicolaus is a small unincorporated community in Sutter County, California, located near the Feather River in the Sacramento Valley.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Alfonsine
    Alfonsine is a municipality in Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ravenna.
  • E. Kalends
    Kalends were the first days of each month in the ancient Roman calendar, from which other dates in that month were reckoned.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccdf9e0c819098a921146e8d6e30 completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.