Triple

T38376340
Position Surface form Disambiguated ID Type / Status
Subject Quận Bình Thạnh E893631 entity
Predicate traversedBy P225 FINISHED
Object Quốc lộ 13
Quốc lộ 13 is a major national highway in southern Vietnam that connects Ho Chi Minh City with Bình Dương and Bình Phước provinces and serves as an important route toward the Central Highlands and the Cambodian border.
E2269160 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: Quốc lộ 13 | Statement: [Quận Bình Thạnh, traversedBy, Quốc lộ 13]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quốc lộ 13
Triple: [Quận Bình Thạnh, traversedBy, Quốc lộ 13]
Generated description
Quốc lộ 13 is a major national highway in southern Vietnam that connects Ho Chi Minh City with Bình Dương and Bình Phước provinces and serves as an important route toward the Central Highlands and the Cambodian border.

Provenance (5 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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcccface2c8190a944125c9742a561 completed May 7, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c27b88fc81909655befe75ebf62e completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c32119048190b138abbf333883c2 completed June 29, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a41c3b0ec6c8190becf6b8f5287b129 completed June 29, 2026, 1 a.m.
Created at: May 3, 2026, 4:31 p.m.