Triple

T7878717
Position Surface form Disambiguated ID Type / Status
Subject Port of Tema E182923 entity
Predicate locatedIn P40 FINISHED
Object Tema E182923 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: Tema | Statement: [Port of Tema, locatedIn, Tema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tema
Context triple: [Port of Tema, locatedIn, Tema]
  • A. Tema chosen
    Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
  • B. Tema
    Tema is a biblical figure mentioned in the Old Testament, traditionally regarded as a descendant of Ishmael and associated with a region or tribe in northwestern Arabia.
  • C. Tema
    Tema is a city located within Egypt's Sohag Governorate, known as a regional center in Upper Egypt.
  • D. Tematantongo
    Tematantongo is a settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • E. Tem
    Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:57 p.m.