Triple

T2276375
Position Surface form Disambiguated ID Type / Status
Subject Sigd E50779 entity
Predicate traditionalSettingInEthiopia P6900 FINISHED
Object mountaintop gathering 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: mountaintop gathering | Statement: [Sigd, traditionalSettingInEthiopia, mountaintop gathering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalSettingInEthiopia
Context triple: [Sigd, traditionalSettingInEthiopia, mountaintop gathering]
  • A. traditionalOrigin
    Indicates that something comes from, or is rooted in, a long-established cultural or customary source or practice.
  • B. traditionalEnd
    Indicates that one entity is the customary or historically established conclusion, outcome, or final stage of another entity or process.
  • C. traditionalLifestyle
    Indicates that an entity follows or maintains long-established customs, practices, and ways of living, typically in contrast to modern or industrialized lifestyles.
  • D. placesInTradition chosen
    Indicates that one entity is situated, interpreted, or understood within the context or framework of a particular tradition.
  • E. traditionalCuisine
    Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
  • F. None of above.

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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ecc600819095dd4f69af1d18d8 completed March 7, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69abbdb9aa3c819088d0316c5269a1c2 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.