Triple

T8695481
Position Surface form Disambiguated ID Type / Status
Subject A/RES/63/278 E206394 entity
Predicate relatedConcept P37 FINISHED
Object Mother Earth E14477 NE 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: Mother Earth | Statement: [A/RES/63/278, relatedConcept, Mother Earth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mother Earth
Context triple: [A/RES/63/278, relatedConcept, Mother Earth]
  • A. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • B. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • C. Mẫu Địa
    Mẫu Địa is an earth mother goddess in the Vietnamese Mother Goddess religion (Đạo Mẫu), associated with the land, fertility, and the earthly realm.
  • D. Gaia chosen
    Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
  • E. Gaia
    Gaia is a fictional planet in Isaac Asimov’s Foundation universe, notable for its unique group consciousness that links all living and non-living matter into a single sentient entity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc582996a0819097ad03097ad1f103 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3fc5a788190a765942fc0b964c9 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.