Triple

T213057
Position Surface form Disambiguated ID Type / Status
Subject Eid al-Fitr E4757 entity
Predicate communalAspect P8515 FINISHED
Object large congregational prayers often in mosques or open fields LITERAL FINISHED

How this triple was built (2 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: large congregational prayers often in mosques or open fields | Statement: [Eid al-Fitr, communalAspect, large congregational prayers often in mosques or open fields]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: communalAspect
Context triple: [Eid al-Fitr, communalAspect, large congregational prayers often in mosques or open fields]
  • A. community
    Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
  • B. notableCommunity
    Indicates that an entity is a particularly prominent or significant member of a given community.
  • C. hasNearbyCommunity
    Indicates that one entity has another community located close to it in geographic or spatial terms.
  • D. usedByCommunity
    Indicates that something is utilized or adopted collectively by a particular community.
  • E. neighborhood
    Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
  • F. None of above. chosen

Provenance (4 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c313d108190a65d3e939f961bef completed Feb. 28, 2026, 3:08 a.m.
PD Predicate disambiguation batch_69a25b509400819093a6c1a1bac861e3 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25c036b54819090a101c4cbdbcff7 completed Feb. 28, 2026, 3:07 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.