Triple

T17519204
Position Surface form Disambiguated ID Type / Status
Subject Quart E426642 entity
Predicate compatibleWith P203 FINISHED
Object Hypercorn NE NERFINISHED

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: Hypercorn | Statement: [Quart, compatibleWith, Hypercorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hypercorn
Context triple: [Quart, compatibleWith, Hypercorn]
  • A. Hypercorn chosen
    Hypercorn is an asynchronous ASGI web server for Python designed to efficiently run modern frameworks like FastAPI and Quart.
  • B. Corserine
    Corserine is a prominent hill in the Galloway Hills of southwest Scotland, known as the highest summit of the Rhinns of Kells ridge.
  • C. Kazon-Pommar
    The Kazon-Pommar are a prominent sect of the Kazon species in the Star Trek: Voyager universe, known for their militaristic culture and involvement in inter-factional power struggles in the Delta Quadrant.
  • D. Hagus
    Hagus is a small settlement located on Buka Island in the Autonomous Region of Bougainville, Papua New Guinea.
  • E. Huajicori
    Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d18c1c81908bb843bbddb44ca1 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.