Triple

T10724624
Position Surface form Disambiguated ID Type / Status
Subject Jokshan E252907 entity
Predicate siblingOf P363 FINISHED
Object Medan E51876 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: Medan | Statement: [Jokshan, siblingOf, Medan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medan
Context triple: [Jokshan, siblingOf, Medan]
  • A. Medan
    Medan is a major economic and cultural hub in northern Sumatra, known as one of Indonesia’s largest cities and a gateway to the region.
  • B. Medan chosen
    Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
  • C. Padang Sidempuan
    Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
  • D. Tanjungbalai
    Tanjungbalai is a coastal city and port in northeastern Sumatra, Indonesia, known for its fishing industry and location along the Asahan River.
  • E. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d473cfc8190b0ea6dbec14ee070 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22848ee881908e9d89f21252ef7d completed April 14, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:14 p.m.