Triple

T7724862
Position Surface form Disambiguated ID Type / Status
Subject Off the Map E175103 entity
Predicate recordLabel P1500 FINISHED
Object World Village E175107 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: World Village | Statement: [Off the Map, recordLabel, World Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Village
Context triple: [Off the Map, recordLabel, World Village]
  • A. World Village chosen
    World Village is a world music-focused record label known for releasing globally inspired and cross-cultural music projects.
  • B. Cinnamon Gardens
    Cinnamon Gardens is an affluent, historically significant neighborhood in Colombo, Sri Lanka, known for its colonial-era architecture, major public institutions, and cultural landmarks.
  • C. Zaman Town
    Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
  • D. Orangi Town
    Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
  • E. Egmore
    Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b523aeb481909d132509b56b5602 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.