Triple

T9995581
Position Surface form Disambiguated ID Type / Status
Subject Alice Braga E197193 entity
Predicate notableWork P4 FINISHED
Object Lower City E304806 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: Lower City | Statement: [Alice Braga, notableWork, Lower City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower City
Context triple: [Alice Braga, notableWork, Lower City]
  • A. Lower City chosen
    Lower City is the historic waterfront district of Salvador, Bahia, known for its colonial architecture, bustling port, and role as a commercial and cultural hub.
  • B. Lower City
    Lower City is the main residential and administrative quarter of the ancient Hittite capital Hattusa, containing key temples, houses, and public buildings.
  • C. Upper City
    Upper City is the southern, later-developed religious and administrative district of the ancient Hittite capital Hattusa, notable for its large temples and monumental architecture.
  • D. Upper City
    Upper City is the historic elevated district of Salvador, Bahia, known for its colonial architecture, government buildings, and panoramic views over the lower port area.
  • E. Lower Town
    Lower Town is the riverside section of Belgrade Fortress, historically serving as its commercial and military quarter along the confluence of the Sava and Danube rivers.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258336ab8819098d4878b8c106d86 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.