Triple

T15264487
Position Surface form Disambiguated ID Type / Status
Subject Lighthouse E364863 entity
Predicate compatibleWith P203 FINISHED
Object Geth E364858 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: Geth | Statement: [Lighthouse, compatibleWith, Geth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geth
Context triple: [Lighthouse, compatibleWith, Geth]
  • A. Geth chosen
    Geth is a widely used open-source Ethereum client implementation in Go that enables users to run full nodes, interact with smart contracts, and participate in the Ethereum network.
  • B. Teclea
    Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
  • C. Defari
    Defari is an American underground hip hop artist and member of the Likwit Crew, known for his thoughtful lyricism and work with West Coast producers like Evidence and DJ Babu.
  • D. Proteus
    Proteus is the nickname of Charles Proteus Steinmetz, a pioneering German-American electrical engineer and mathematician renowned for his foundational work in alternating current (AC) power systems.
  • E. Proteus
    Proteus is an experimental high-altitude, long-endurance aircraft designed by Scaled Composites for telecommunications, reconnaissance, and research missions.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fdc21881909d87062db6fb8fb7 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.