Triple

T12751352
Position Surface form Disambiguated ID Type / Status
Subject Nkwerre E304738 entity
Predicate isoCountryCode P208 FINISHED
Object NG E9152 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: NG | Statement: [Nkwerre, isoCountryCode, NG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NG
Context triple: [Nkwerre, isoCountryCode, NG]
  • A. Ng
    Ng is a common Chinese surname found across various Chinese-speaking communities and the diaspora, often representing the Cantonese or Hokkien romanization of the character 吳 (Wu).
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. .ng chosen
    .ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
  • D. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • E. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.