Triple

T3283151
Position Surface form Disambiguated ID Type / Status
Subject Barca E68919 entity
Predicate country P26 FINISHED
Object Carthage E22727 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: Carthage | Statement: [Barca, country, Carthage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carthage
Context triple: [Barca, country, Carthage]
  • A. Carthage chosen
    Carthage was an influential ancient Phoenician city-state and maritime empire in North Africa, renowned for its trade networks and conflicts with Rome during the Punic Wars.
  • B. Ancient Karthea
    Ancient Karthea is a significant archaeological site on the Greek island of Kea, featuring ruins from a prominent ancient city with temples, theaters, and other classical structures.
  • C. Thugga
    Thugga is an ancient Roman-Berber city in modern-day Tunisia renowned for its well-preserved ruins and status as a UNESCO World Heritage Site.
  • D. Leptis Magna
    Leptis Magna is an exceptionally well-preserved ancient Roman city on the Mediterranean coast, renowned for its grand architecture and archaeological significance.
  • E. suffete of Carthage
    The suffete of Carthage was a chief magistrate and political leader in ancient Carthage, roughly comparable to a Roman consul.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03621608190a2b7a6b38d6559da completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85528c88190b1e98c680baf3fa8 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.