Triple

T11805610
Position Surface form Disambiguated ID Type / Status
Subject Korangi Road E280738 entity
Predicate servesArea P82 FINISHED
Object Korangi E948711 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: Korangi | Statement: [Korangi Road, servesArea, Korangi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korangi
Context triple: [Korangi Road, servesArea, Korangi]
  • A. Korangi chosen
    Korangi is a major industrial and residential area in Karachi, Pakistan, known for its large industrial estate and dense urban population.
  • B. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • C. Waharoa
    Waharoa is a small rural township in the Waikato region of New Zealand, located near Matamata and serving as a local service and transport hub for the surrounding farming community.
  • D. Runga
    Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
  • E. Makaroa
    Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166f16a908190803cc986ce596aa1 completed April 29, 2026, 2:03 a.m.
Created at: April 8, 2026, 9:42 p.m.