Triple

T5895188
Position Surface form Disambiguated ID Type / Status
Subject FeathersJS E131083 entity
Predicate supportsDatabase P11254 FINISHED
Object Mongoose E183384 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: Mongoose | Statement: [FeathersJS, supportsDatabase, Mongoose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongoose
Context triple: [FeathersJS, supportsDatabase, Mongoose]
  • A. Mongoose chosen
    Mongoose is a popular Node.js object data modeling (ODM) library that provides a schema-based solution for modeling and interacting with MongoDB databases.
  • B. Boas
    Boas is a surname most prominently associated with Franz Boas, the pioneering anthropologist often regarded as the father of American anthropology.
  • C. Boi-ngo
    Boi-ngo is a 1987 studio album by American new wave band Oingo Boingo, showcasing their blend of rock, ska, and quirky, theatrical pop.
  • D. Gecko
    Gecko is Mozilla’s open-source web browser engine that powers the rendering and functionality of Firefox and several other applications.
  • E. Colubrina
    Colubrina is a genus of flowering shrubs and small trees known for their hard wood and occurrence in tropical and subtropical regions.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.