Triple

T15335602
Position Surface form Disambiguated ID Type / Status
Subject Dakahlia Governorate E366655 entity
Predicate hasCity P316 FINISHED
Object Aga E665928 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: Aga | Statement: [Dakahlia Governorate, hasCity, Aga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aga
Context triple: [Dakahlia Governorate, hasCity, Aga]
  • A. Aga chosen
    Aga is a city in Egypt’s Dakahlia Governorate, known as one of the region’s principal urban centers in the Nile Delta.
  • B. Aga
    Aga is a rural town in Japan known for its mountainous landscapes and location within Niigata Prefecture on the island of Honshu.
  • C. Agta
    The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
  • D. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • E. Arbela
    Arbela is the ancient name of the modern city of Erbil in Iraqi Kurdistan, historically known as a major Assyrian and later Hellenistic center near the site of Alexander the Great’s victory at the Battle of Gaugamela.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f11b88819089342e8b088bc95e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.