Triple

T36992900

Position	Surface form	Disambiguated ID	Type / Status
Subject	گریگورین کیلنڈر	`E915152`	entity
Predicate	متعارف_کرانے_والا	`P186873`	FINISHED
Object	پوپ گریگوری سیزدہم پوپ گریگوری سیزدہم سولہویں صدی کے رومن کیتھولک پوپ تھے جو کلیسائی اصلاحات اور وقت کے نظام میں اہم تبدیلیوں کے باعث تاریخ میں نمایاں مقام رکھتے ہیں۔	`E2208117`	NE FINISHED

How this triple was built (3 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: پوپ گریگوری سیزدہم | Statement: [گریگورین کیلنڈر, متعارف_کرانے_والا, پوپ گریگوری سیزدہم]

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: پوپ گریگوری سیزدہم
Triple: [گریگورین کیلنڈر, متعارف_کرانے_والا, پوپ گریگوری سیزدہم]

Generated description

پوپ گریگوری سیزدہم سولہویں صدی کے رومن کیتھولک پوپ تھے جو کلیسائی اصلاحات اور وقت کے نظام میں اہم تبدیلیوں کے باعث تاریخ میں نمایاں مقام رکھتے ہیں۔

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: متعارف_کرانے_والا
Context triple: [گریگورین کیلنڈر, متعارف_کرانے_والا, پوپ گریگوری سیزدہم]

A. recognizedAsCruOf
Indicates that one entity is officially classified or acknowledged as a cru (a designated quality level or growth) of another entity, typically within a hierarchical quality system.
B. kāṇḍa
Indicates a part–whole relationship where something is a section, chapter, or subdivision of a larger structured whole.
C. isCruxOf
Indicates that something is the central, most critical, or decisive element within a situation, argument, or problem.
D. ظهرفي
Indicates that an entity appears, is shown, or is present within another entity (such as a place, medium, or context).
E. usesKomalRe
Indicates that one entity employs or incorporates the musical note Komal Re (flattened second) in relation to another entity or context.
F. None of above. chosen

Provenance (7 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_69f76e8f1a8c81909db172ed31304971`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_69fb154c0fe08190a2e41e7a29b6055f`	completed	May 6, 2026, 10:17 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3e5760720c8190b295be8936383fc5`	completed	June 26, 2026, 10:41 a.m.
NEDg	Description generation	`batch_6a3e5931ce08819080758885f22bda3a`	completed	June 26, 2026, 10:49 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3e5f4a910081908f9ff844c1feb1ae`	completed	June 26, 2026, 11:15 a.m.
PD	Predicate disambiguation	`batch_69f9fecc005c8190be082a8689193745`	completed	May 5, 2026, 2:29 p.m.
PDg	Predicate description generation	`batch_69fb154b5f8c819089103b41f51a1639`	completed	May 6, 2026, 10:17 a.m.

Created at: May 3, 2026, 4:14 p.m.