Triple

T15901564
Position Surface form Disambiguated ID Type / Status
Subject Pampangan E385601 entity
Predicate spokenIn P2266 FINISHED
Object Tarlac E84755 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: Tarlac | Statement: [Pampangan, spokenIn, Tarlac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarlac
Context triple: [Pampangan, spokenIn, Tarlac]
  • A. Tarlac chosen
    Tarlac is a landlocked province in the Central Luzon region of the Philippines known for its culturally diverse population and agricultural economy.
  • B. Tarlac City
    Tarlac City is the capital and largest urban center of the province of Tarlac in the Central Luzon (Region III) area of the Philippines.
  • C. Nueva Ecija
    Nueva Ecija is a landlocked agricultural province in Central Luzon, Philippines, known as a major rice-producing area and home to diverse ethnolinguistic groups.
  • D. Pampanga
    Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
  • E. Cabanatuan City
    Cabanatuan City is a highly urbanized commercial and transportation hub in the Philippine province of Nueva Ecija, historically known as the "Tricycle Capital of the Philippines."
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563db01081908dd94a2536ef2107 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28f43988190aa06da8c356b9646 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 4:52 a.m.