Triple

T37733175

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mahasamghika	`E940214`	entity
Predicate	hadSubsect	`P17297`	FINISHED
Object	Lokottaravāda Lokottaravāda was an early Buddhist school known for its transcendental interpretation of the Buddha and his qualities, emerging as a distinct branch within the broader Mahāsāṃghika tradition.	`E2240227`	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: Lokottaravāda | Statement: [Mahasamghika, hadSubsect, Lokottaravāda]

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: Lokottaravāda
Triple: [Mahasamghika, hadSubsect, Lokottaravāda]

Generated description

Lokottaravāda was an early Buddhist school known for its transcendental interpretation of the Buddha and his qualities, emerging as a distinct branch within the broader Mahāsāṃghika tradition.

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

Target predicate: hadSubsect
Context triple: [Mahasamghika, hadSubsect, Lokottaravāda]

A. hadSubtypes
Indicates that an entity served as a broader category or type that included one or more more specific subtypes.
B. hadSubcommittee
Indicates that an entity (typically an organization or committee) possessed or was associated with a subordinate committee or subcommittee.
C. hasSubchron
Indicates that a given chronostratigraphic unit is divided into, or contains, one or more subordinate subchrons.
D. majorSubsect
Indicates that one group, movement, or tradition is a principal or primary subdivision within a larger religious, ideological, or organizational entity.
E. hasSect chosen
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
F. None of above.

Provenance (6 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_69f76edefd048190a32212c5c3919531`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fbaef0cec881908c2742d77d145901`	completed	May 6, 2026, 9:13 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40d6857f7c8190a83556559a1d8a0e`	completed	June 28, 2026, 8:08 a.m.
NEDg	Description generation	`batch_6a40d8f214388190a26189e3992d0b74`	completed	June 28, 2026, 8:18 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40d94c5abc8190b2f8f70293c2bb29`	completed	June 28, 2026, 8:20 a.m.
PD	Predicate disambiguation	`batch_69fbadf632ec8190b14991c971258307`	completed	May 6, 2026, 9:09 p.m.

Created at: May 3, 2026, 4:18 p.m.