Triple

T6774497
Position Surface form Disambiguated ID Type / Status
Subject Pleiku Province E155121 entity
Predicate namedAfter P63 FINISHED
Object Pleiku E560365 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: Pleiku | Statement: [Pleiku Province, namedAfter, Pleiku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleiku
Context triple: [Pleiku Province, namedAfter, Pleiku]
  • A. Pleiku chosen
    Pleiku is a city in Vietnam’s Central Highlands known as a regional hub for coffee production and as a strategic site during the Vietnam War.
  • B. Pleiku Province
    Pleiku Province was a former province in Vietnam’s Central Highlands, historically significant as a major military area during the Vietnam War.
  • C. Da Nang
    Da Nang is a major coastal city in central Vietnam known for its sandy beaches, modern infrastructure, and proximity to historic sites like Hoi An and the Marble Mountains.
  • D. Hà Tiên
    Hà Tiên is a coastal town in southwestern Vietnam near the Cambodian border, known historically as a trading port and cultural crossroads in the Mekong Delta region.
  • E. Nha Trang
    Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24ddaf08190baffbff991eeb458 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c67dc08190b21138488c80733a completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:13 p.m.