Triple

T3098341
Position Surface form Disambiguated ID Type / Status
Subject Mount Taygetus E64654 entity
Predicate region P40 FINISHED
Object Messenia E108870 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: Messenia | Statement: [Mount Taygetus, region, Messenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messenia
Context triple: [Mount Taygetus, region, 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. 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.
  • C. 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.
  • D. Achaia
    Achaia was a Roman province in southern Greece that became an important early center of Christian missionary activity.
  • E. Peloponnese
    The Peloponnese is a large peninsula in southern Greece known for its mountainous landscape, ancient archaeological sites like Olympia and Mycenae, and important role in classical Greek history.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23dde988190a1aca020685594f3 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20378a1488190bd0fa7d3f4639220 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.