Triple

T4678971
Position Surface form Disambiguated ID Type / Status
Subject Hernici E103750 entity
Predicate hadSettlement P16159 FINISHED
Object Anagnia E462064 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: Anagnia | Statement: [Hernici, hadSettlement, Anagnia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anagnia
Context triple: [Hernici, hadSettlement, Anagnia]
  • A. Anagnia chosen
    Anagnia was an ancient city in central Italy that served as the principal urban center of the Hernici people before coming under Roman influence.
  • B. Naissos
    Naissos is the ancient name of the city of Niš, a historically significant urban center in present-day Serbia known since Roman times.
  • C. Aigio
    Aigio is a coastal town in northern Peloponnese, Greece, known for its port on the Gulf of Corinth and its role as a regional commercial and agricultural center.
  • D. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • E. Tithorea
    Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636acffc819094e03c5bb53203d8 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be105232e88190bb79bf52b58e1814 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:16 p.m.