Triple

T5048258
Position Surface form Disambiguated ID Type / Status
Subject Amphipolis E113720 entity
Predicate locatedNear P294 FINISHED
Object Mount Pangaion E105318 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: Mount Pangaion | Statement: [Amphipolis, locatedNear, Mount Pangaion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Pangaion
Context triple: [Amphipolis, locatedNear, Mount Pangaion]
  • A. Mount Pangaion chosen
    Mount Pangaion is a historically significant mountain in northern Greece, famed in antiquity for its rich gold and silver mines and its role in ancient Macedonian and Thracian history.
  • B. Mount Terevaka
    Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
  • C. Mount Oros
    Mount Oros is the highest mountain on the Greek island of Aegina, known for its panoramic views and historical religious sites.
  • D. Mount Popomanaseu
    Mount Popomanaseu is the tallest mountain on the island of Guadalcanal in the Solomon Islands, known for its rugged terrain and tropical rainforest environment.
  • E. Mount Gessi
    Mount Gessi is one of the prominent high peaks in the Rwenzori Mountains range of East Africa, known for its rugged alpine terrain and glaciated landscape.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7401419081909ba62b9c27f770c4 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47e5ba0819088217a9ad3ce2b0a completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.