Triple

T2295232
Position Surface form Disambiguated ID Type / Status
Subject Singapore Airlines E51597 entity
Predicate callsign P1565 FINISHED
Object SINGAPORE E3670 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: SINGAPORE | Statement: [Singapore Airlines, callsign, SINGAPORE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SINGAPORE
Context triple: [Singapore Airlines, callsign, SINGAPORE]
  • A. Singapore chosen
    Singapore is a sovereign city-state and island nation in Southeast Asia known for its global financial hub status, multicultural society, and highly developed, efficient infrastructure.
  • B. Nadi–Singapore
    Nadi–Singapore is an international flight route linking Nadi, Fiji with Singapore, serving as a key air corridor between the South Pacific and Southeast Asia.
  • C. Port of Singapore
    The Port of Singapore is one of the world’s busiest and most important maritime hubs, serving as a major global transshipment and logistics center.
  • D. Central Area, Singapore
    Central Area, Singapore is the primary downtown and commercial core of Singapore, encompassing key financial, civic, and cultural districts.
  • E. Nanyang
    Nanyang is a major prefecture-level city in southwestern Henan Province, China, known for its long history, cultural heritage, and role as a regional economic and transportation hub.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960ae538819095c66b91952800b7 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.