Triple

T34806160

Position	Surface form	Disambiguated ID	Type / Status
Subject	Maghar	`E1003362`	entity
Predicate	hasLunarCalendarEquivalentName	`P181501`	FINISHED
Object	Margashirsha Margashirsha is a month in the traditional Hindu lunar calendar, typically falling around November–December and associated with various religious observances and rituals.	`E2113338`	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: Margashirsha | Statement: [Maghar, hasLunarCalendarEquivalentName, Margashirsha]

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: Margashirsha
Triple: [Maghar, hasLunarCalendarEquivalentName, Margashirsha]

Generated description

Margashirsha is a month in the traditional Hindu lunar calendar, typically falling around November–December and associated with various religious observances and rituals.

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

Target predicate: hasLunarCalendarEquivalentName
Context triple: [Maghar, hasLunarCalendarEquivalentName, Margashirsha]

A. hasSolarCalendarName
Indicates that an entity is associated with a specific name used in a solar calendar system.
B. isLunisolar
Indicates that something is based on or determined by both the cycles of the moon and the sun.
C. lunarCalendar
Indicates that the referenced system, event, or date is defined, measured, or scheduled according to a calendar based on the phases or cycles of the Moon.
D. hasLunarFortnight
Indicates that an entity experiences or is associated with a recurring time period corresponding to a lunar fortnight (approximately half a lunar month).
E. usesJulianCalendar
Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
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_69f76db600b88190989abdf08fce3b27`	completed	May 3, 2026, 3:45 p.m.
NER	Named-entity recognition	`batch_69f77ab085088190ace5734dcc9f1167`	completed	May 3, 2026, 4:41 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a376faf72bc8190a16bb82d4c132d02`	completed	June 21, 2026, 4:59 a.m.
NEDg	Description generation	`batch_6a37703823ac81908261228f65fcfa4b`	completed	June 21, 2026, 5:01 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37716ab2c48190b7c24792201885c8`	completed	June 21, 2026, 5:06 a.m.
PD	Predicate disambiguation	`batch_69f7795b1abc8190823664d1caa94649`	completed	May 3, 2026, 4:35 p.m.
PDg	Predicate description generation	`batch_69f77a39135081908ae22d2a23b44e74`	completed	May 3, 2026, 4:39 p.m.

Created at: May 3, 2026, 3:59 p.m.