Triple

T14000349
Position Surface form Disambiguated ID Type / Status
Subject Pili, Camarines Sur E336803 entity
Predicate hasSecondaryNationalLanguage P112103 FINISHED
Object English LITERAL 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: English | Statement: [Pili, Camarines Sur, hasSecondaryNationalLanguage, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecondaryNationalLanguage
Context triple: [Pili, Camarines Sur, hasSecondaryNationalLanguage, English]
  • A. hasSecondaryLanguage
    Indicates that an entity possesses or uses a secondary language in addition to its primary language.
  • B. hasSecondaryLanguageFamily
    Indicates that an entity has an additional, non-primary association with a particular language family.
  • C. laterSecondaryLanguageOfAdministration
    Indicates that one language served as a subsequent or later secondary language used for administrative purposes in relation to another language.
  • D. hasSecondaryLanguageTradition
    Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
  • E. hasSecondaryLanguageNearby
    Indicates that an entity has at least one secondary language present or used in its immediate vicinity or surrounding context.
  • F. None of above. chosen

Provenance (4 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb81b208190a961e49a02fa4140 completed April 14, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69dd465dfbc4819090d8c61fd572d35f completed April 13, 2026, 7:39 p.m.
PDg Predicate description generation batch_69de01ed2098819088ec45069f6f2609 completed April 14, 2026, 8:59 a.m.
Created at: April 9, 2026, 10:19 p.m.