Triple

T10304754
Position Surface form Disambiguated ID Type / Status
Subject Magway Region E241721 entity
Predicate riverPort P15716 FINISHED
Object Pakokku E825381 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: Pakokku | Statement: [Magway Region, riverPort, Pakokku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakokku
Context triple: [Magway Region, riverPort, Pakokku]
  • A. Pakokku chosen
    Pakokku is a major town in central Myanmar, known as a regional trading hub on the Irrawaddy River.
  • B. Nakkila
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • C. Houtu
    Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • D. Nayki
    Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
  • E. Kingissepa
    Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d308f034819098da69b963eb8a02 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75026fb0881908e4d16b3fde531c0 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:45 a.m.