Triple

T31134315
Position Surface form Disambiguated ID Type / Status
Subject Pham Ngu Lao Street E793597 entity
Predicate near P350 FINISHED
Object Bui Vien Street
Bui Vien Street is a bustling nightlife hub in Ho Chi Minh City’s backpacker district, known for its bars, street food, and budget accommodations.
 E793597 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: Bui Vien Street | Statement: [Pham Ngu Lao Street, near, Bui Vien Street]
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: Bui Vien Street
Triple: [Pham Ngu Lao Street, near, Bui Vien Street]
Generated description
Bui Vien Street is a bustling nightlife hub in Ho Chi Minh City’s backpacker district, known for its bars, street food, and budget accommodations.

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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69742b5f88190a156c87a93609bf3 completed May 3, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a103f3c8190870f3e2e0376b7aa completed June 14, 2026, 11:01 a.m.
NEDg Description generation batch_6a2e8b0d7b9881909941c614281a6c05 completed June 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8c005eb48190a28f4f07ad7c70af completed June 14, 2026, 11:09 a.m.
Created at: April 29, 2026, 9:05 p.m.