Triple

T11397065
Position Surface form Disambiguated ID Type / Status
Subject Palau Capitol building E270002 entity
Predicate countryCapital P204 FINISHED
Object Ngerulmud E55261 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: Ngerulmud | Statement: [Palau Capitol building, countryCapital, Ngerulmud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngerulmud
Context triple: [Palau Capitol building, countryCapital, Ngerulmud]
  • A. Ngerulmud chosen
    Ngerulmud is the small, purpose-built administrative center of Palau, located on the island of Babeldaob and known as one of the world's least-populated national capitals.
  • B. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • C. Jirgalang
    Jirgalang was a Manchu prince and powerful early Qing dynasty statesman who served as a key regent during the reign of the Shunzhi Emperor.
  • D. Kutoarjo
    Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
  • E. Nungal
    Nungal is a Mesopotamian goddess associated with prisons, justice, and the protection and rehabilitation of offenders.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d33ad50c8190982b00aab09098a1 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.