Triple

T4197198
Position Surface form Disambiguated ID Type / Status
Subject Kefalonia E89181 entity
Predicate hasSettlement P1068 FINISHED
Object Poros E291383 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: Poros | Statement: [Kefalonia, hasSettlement, Poros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poros
Context triple: [Kefalonia, hasSettlement, Poros]
  • A. Poros chosen
    Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
  • B. Oribos
    Oribos is the central hub city and afterlife crossroads in World of Warcraft: Shadowlands, where players gather, trade, and access the expansion’s various realms.
  • C. Proteus
    Proteus is an experimental high-altitude, long-endurance aircraft designed by Scaled Composites for telecommunications, reconnaissance, and research missions.
  • 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 one of Neptune’s largest irregularly shaped moons, known for its dark surface and heavily cratered, ancient terrain.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035f9f788190a4bcfeda646fbebf completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0ff2a08190ac7f89d306454ab8 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.