Triple

T7177401
Position Surface form Disambiguated ID Type / Status
Subject Thai Binh Province E167354 entity
Predicate borders P224 FINISHED
Object Hung Yen Province E371894 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: Hung Yen Province | Statement: [Thai Binh Province, borders, Hung Yen Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung Yen Province
Context triple: [Thai Binh Province, borders, Hung Yen Province]
  • A. Hung Yen Province chosen
    Hung Yen Province is a small, predominantly agricultural province in northern Vietnam’s Red River Delta, known for its fertile plains and proximity to Hanoi.
  • B. Ha Tinh Province
    Ha Tinh Province is a coastal province in north-central Vietnam known for its agricultural economy, historical sites, and vulnerability to severe weather and flooding.
  • C. Hòa Bình Province
    Hòa Bình Province is a mountainous province in Vietnam’s northwest region, known as the homeland of the Mường people and for its hydropower dam on the Đà River.
  • D. Quang Ngai Province
    Quang Ngai Province is a coastal region in central Vietnam historically known as the site of the My Lai massacre during the Vietnam War.
  • E. Trang province
    Trang province is a coastal province in southern Thailand known for its Andaman Sea islands, limestone cliffs, and rich cultural and culinary traditions.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e89022d48190a112c24df79ab62f completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eec651a48190b52052bfef83ffcd completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:49 p.m.