Triple

T9415744
Position Surface form Disambiguated ID Type / Status
Subject John J. "DaNang" Greene E227014 entity
Predicate nickname P55 FINISHED
Object DaNang E28418 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: DaNang | Statement: [John J. "DaNang" Greene, nickname, DaNang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DaNang
Context triple: [John J. "DaNang" Greene, nickname, DaNang]
  • A. Da Nang chosen
    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.
  • B. Vung Tau
    Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
  • C. Nha Trang
    Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
  • D. Huế
    Huế is a historic city in central Vietnam that served as the imperial capital of the Nguyễn Dynasty and is renowned for its ancient citadel, royal tombs, and rich cultural heritage.
  • E. Pleiku
    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.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11029d3348190baf0dba766c4e960 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:48 p.m.