Triple

T8310914
Position Surface form Disambiguated ID Type / Status
Subject Coele-Syria E194586 entity
Predicate hasCity P316 FINISHED
Object Berytus E40318 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: Berytus | Statement: [Coele-Syria, hasCity, Berytus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berytus
Context triple: [Coele-Syria, hasCity, Berytus]
  • A. Berytus chosen
    Berytus is the ancient city that later became Beirut, a major coastal center of Phoenician and subsequently Greco-Roman and Byzantine civilization in the eastern Mediterranean.
  • B. Edessa
    Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
  • C. Edessa
    Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
  • D. Diospolis Magna
    Diospolis Magna is the ancient Greek name for Thebes, the major city of Upper Egypt that served as a prominent political and religious center, especially as the cult center of the god Amun.
  • E. EDESSA
    EDESSA is the company responsible for managing and operating Estadio Cuscatlán, one of the largest and most important football stadiums in El Salvador.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2eecb08190ae0ba8adbaf58c8f completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd956f01748190a0db22ef68126bee completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:54 p.m.