Triple

T480820
Position Surface form Disambiguated ID Type / Status
Subject .ph E9161 entity
Predicate managedBy P86 FINISHED
Object DotPH E9161 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: DotPH | Statement: [.ph, managedBy, DotPH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DotPH
Context triple: [.ph, managedBy, DotPH]
  • A. .phl
    .phl is a proposed or lesser-used internet country code top-level domain associated with the Philippines, distinct from its primary ccTLD, .ph.
  • B. PHP
    PHP is the three-letter ISO 4217 currency code for the Philippine peso, the official monetary unit of the Philippines.
  • C. PHP
    PHP is a widely used open-source server-side scripting language especially suited for web development and powering dynamic websites and applications.
  • D. .ph chosen
    .ph is the country code top-level domain (ccTLD) designated for websites associated with the Philippines.
  • E. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f058ebe48190aaa0a829b21f75fa completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4711ea1dc8190ac4bf0efaf0890b7 completed March 1, 2026, 5:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.