Triple

T19790813
Position Surface form Disambiguated ID Type / Status
Subject Ipu E475403 entity
Predicate greekName P3659 FINISHED
Object Panopolis 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: Panopolis | Statement: [Ipu, greekName, Panopolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panopolis
Context triple: [Ipu, greekName, Panopolis]
  • A. Panopolis chosen
    Panopolis was an important ancient Egyptian city in the Thebaid region, known as a regional administrative and religious center.
  • B. Areopolis
    Areopolis is a historic town in the Mani Peninsula of southern Greece, known for its traditional stone architecture and role in the Greek War of Independence.
  • C. Dodecapolis
    Dodecapolis is the traditional confederation of twelve major Etruscan city-states that formed a political and religious league in ancient Italy.
  • D. Paleopolis
    Paleopolis is an ancient settlement on the Greek island of Andros, known for its archaeological remains and historical significance near the modern village of Batsi.
  • E. Axiopolis
    Axiopolis was an ancient Roman town and military stronghold on the lower Danube, in the province of Moesia.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.