Triple

T24418823
Position Surface form Disambiguated ID Type / Status
Subject National Route 9 (Vietnam) E615667 entity
Predicate officialName P66 FINISHED
Object Quốc lộ 9
Quốc lộ 9 is a major east–west highway in central Vietnam that connects the coastal city of Đông Hà to the Lao border and forms part of the historic Ho Chi Minh Trail and Asian Highway Network.
E1640594 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 9 | Statement: [National Route 9 (Vietnam), officialName, Quốc lộ 9]
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 9
Triple: [National Route 9 (Vietnam), officialName, Quốc lộ 9]
Generated description
Quốc lộ 9 is a major east–west highway in central Vietnam that connects the coastal city of Đông Hà to the Lao border and forms part of the historic Ho Chi Minh Trail and Asian Highway Network.

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_69e2d7e9bfac8190a748952a90957106 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f296a12a50819099fcdbc7096b53dd completed April 29, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff843482c81909196a885d974e5bf completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff9cdbbe08190b9c04acc258a32e4 completed May 22, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa70e32c81909345bb45de585d83 completed May 22, 2026, 6:40 a.m.
Created at: April 18, 2026, 2:13 a.m.