Triple

T21199525
Position Surface form Disambiguated ID Type / Status
Subject Aphareus E522415 entity
Predicate realm P12844 FINISHED
Object Messenia 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: Messenia | Statement: [Aphareus, realm, Messenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messenia
Context triple: [Aphareus, realm, Messenia]
  • A. Messenia chosen
    Messenia is a historical region in southwestern Greece known for its fertile plains, ancient sites such as Messene, and its location along the Ionian Sea.
  • B. Lakonia
    Lakonia is a region in the southeastern part of the Peloponnese in Greece, historically known as the homeland of ancient Sparta.
  • C. Argolid
    Argolid is a historic region in the northeastern Peloponnese of Greece, renowned as the heartland of several major Bronze Age and classical Greek centers.
  • D. Pylos
    Pylos is an ancient town in Messenia, Greece, known from Homeric epics and later Greek tradition as a significant Mycenaean center and legendary seat of King Nestor.
  • E. Achaia
    Achaia was a Roman province in southern Greece that became an important early center of Christian missionary activity.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:17 p.m.