Triple

T14281698
Position Surface form Disambiguated ID Type / Status
Subject MDN E354062 entity
Predicate hasAbbreviation P43 FINISHED
Object MDN E136521 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: MDN | Statement: [MDN, hasAbbreviation, MDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDN
Context triple: [MDN, hasAbbreviation, MDN]
  • A. MDN
    MDN is the vehicle registration code assigned to Mardan, a city in the Khyber Pakhtunkhwa province of Pakistan.
  • B. MDN
    MDN is the commonly used abbreviation for Portugal’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • C. MDN
    MDN is the commonly used abbreviation for Chile's Ministry of National Defense, the government body responsible for overseeing the country's armed forces and defense policy.
  • D. MDN Web Docs chosen
    MDN Web Docs is a comprehensive, community-driven documentation resource for web technologies such as HTML, CSS, and JavaScript, widely used by developers to learn and reference open web standards.
  • E. Mozilla developer tools
    Mozilla developer tools are the built-in web development and debugging tools in the Firefox browser, providing features like an inspector, console, debugger, and network monitor for web developers.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.