Triple

T7878725
Position Surface form Disambiguated ID Type / Status
Subject Tema E182923 entity
Predicate hasIndustrialArea P40 FINISHED
Object Tema Industrial Area E182934 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: Tema Industrial Area | Statement: [Tema, hasIndustrialArea, Tema Industrial Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tema Industrial Area
Context triple: [Tema, hasIndustrialArea, Tema Industrial Area]
  • A. Tema Industrial Area chosen
    Tema Industrial Area is a major industrial and manufacturing hub in Ghana, located within the port city of Tema in the Greater Accra Region.
  • B. Macche industrial area
    Macche industrial area is a designated industrial zone in Belagavi, Karnataka, hosting various manufacturing and commercial enterprises.
  • C. Focal Point industrial area
    Focal Point industrial area is a major industrial hub in Ludhiana, Punjab, known for its concentration of manufacturing and engineering units.
  • D. Sikka industrial area
    Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
  • E. Vallejo industrial zone
    Vallejo industrial zone is a major industrial district in the Azcapotzalco borough of Mexico City, known for its concentration of manufacturing, logistics, and warehousing facilities.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:57 p.m.