Triple

T22628954
Position Surface form Disambiguated ID Type / Status
Subject Gia Lai E558497 entity
Predicate borders P224 FINISHED
Object Đắk Lắk province E560367 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: Đắk Lắk province | Statement: [Gia Lai, borders, Đắk Lắk province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Đắk Lắk province
Context triple: [Gia Lai, borders, Đắk Lắk province]
  • A. Đắk Lắk Province chosen
    Đắk Lắk Province is a mountainous region in Vietnam’s Central Highlands known for its coffee production, ethnic diversity, and the provincial capital Buôn Ma Thuột.
  • B. Dak Nong Province
    Dak Nong Province is a mountainous region in Vietnam’s Central Highlands known for its ethnic diversity, volcanic landscapes, and coffee cultivation.
  • C. Đắk Nông Province
    Đắk Nông Province is a mountainous, coffee-growing province in Vietnam’s Central Highlands known for its ethnic diversity, waterfalls, and volcanic landscapes.
  • D. Phu Yen province
    Phu Yen province is a coastal province in south-central Vietnam known for its scenic beaches, lagoons, and relatively unspoiled natural landscapes.
  • E. Thai Binh Province
    Thai Binh Province is a coastal agricultural province in Vietnam’s Red River Delta, known especially for its rice cultivation and dense rural population.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3febd081909ff21abef1e4035d completed April 29, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73dc84108190842a375b13251e99 completed May 18, 2026, 8:17 p.m.
Created at: April 17, 2026, 3:02 p.m.