Triple

T5406170
Position Surface form Disambiguated ID Type / Status
Subject Agder E120897 entity
Predicate containsCity P294 FINISHED
Object Mandal E102497 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: Mandal | Statement: [Agder, containsCity, Mandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandal
Context triple: [Agder, containsCity, Mandal]
  • A. Mandal chosen
    Mandal is a coastal town in southern Norway known for its sandy beaches, historic wooden houses, and maritime heritage.
  • B. Marulan
    Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • C. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • D. Sithonia
    Sithonia is a peninsula in northern Greece known for its scenic beaches, pine-covered landscapes, and quieter, less-developed atmosphere compared to other parts of Halkidiki.
  • E. Monghyr
    Monghyr (now usually spelled Munger) is a historic city in the Indian state of Bihar, known for its strategic location on the Ganges and its significance in various ancient and medieval Indian kingdoms.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87924c588190beb4a1be27f8d11b completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3394af9c81909f9a3bb06d48595d completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.