Triple

T6217048
Position Surface form Disambiguated ID Type / Status
Subject Graeae E139013 entity
Predicate member P10 FINISHED
Object Enyo E121015 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: Enyo | Statement: [Graeae, member, Enyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enyo
Context triple: [Graeae, member, Enyo]
  • A. Enyo chosen
    Enyo is a Greek goddess of war and destruction, often depicted as a close companion and counterpart to the war god Ares.
  • B. Apphia
    Apphia is a Christian woman mentioned in the New Testament as one of the recipients of Paul’s Epistle to Philemon, traditionally thought to be a member of Philemon’s household, possibly his wife.
  • C. Cordova
    Cordova is a coastal municipality in Cebu, Philippines, located on Mactan Island and known for its mangrove forests, marine sanctuaries, and growing tourism industry.
  • D. Cordova
    Cordova is a small coastal town in south-central Alaska known for its fishing industry, remote setting, and proximity to the Chugach National Forest and Prince William Sound.
  • E. Perama
    Perama is a coastal suburb and port town in the Athens urban area of Greece, known for its shipyards and maritime industry.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20db4e0ac8190ba7bca1f9d8ac6df completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.