Triple

T2999381
Position Surface form Disambiguated ID Type / Status
Subject Titanic Studios E81149 entity
Predicate partOf P40 FINISHED
Object Titanic Quarter E16761 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: Titanic Quarter | Statement: [Titanic Studios, partOf, Titanic Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titanic Quarter
Context triple: [Titanic Studios, partOf, Titanic Quarter]
  • A. Titanic Quarter chosen
    Titanic Quarter is a major waterfront regeneration area in Belfast, Northern Ireland, built around the city’s shipbuilding heritage and the legacy of RMS Titanic.
  • B. Cathedral Quarter
    Cathedral Quarter is a historic cultural and arts district in central Belfast known for its cobbled streets, vibrant nightlife, galleries, and festivals.
  • C. Bayview
    Bayview is a subway station on Toronto's Line 4 Sheppard, serving the Bayview Avenue area in North York.
  • D. Clyde waterfront
    Clyde waterfront is the urban riverside area along the River Clyde in Glasgow, Scotland, known for its historic docks, modern redevelopment, and cultural attractions.
  • E. Old Port
    Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f8eb248190b50fd539a06a5a62 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261d8d40c8190b5f0a78e4d3069f6 completed March 12, 2026, 6:48 a.m.
Created at: March 8, 2026, 2:59 p.m.