Triple

T30039371
Position Surface form Disambiguated ID Type / Status
Subject Hanoi lake system E763253 entity
Predicate hasPart P35 FINISHED
Object Ho Soc Son lakes
Ho Soc Son lakes are a group of scenic freshwater lakes in the Soc Son district on the outskirts of Hanoi, known for their natural landscapes and recreational appeal.
 E1950549 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: Ho Soc Son lakes | Statement: [Hanoi lake system, hasPart, Ho Soc Son lakes]
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: Ho Soc Son lakes
Triple: [Hanoi lake system, hasPart, Ho Soc Son lakes]
Generated description
Ho Soc Son lakes are a group of scenic freshwater lakes in the Soc Son district on the outskirts of Hanoi, known for their natural landscapes and recreational appeal.

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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f679d77bf8819087c1350088890b9f completed May 2, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2958ea3c8c8190a5c26d181fe0e329 completed June 10, 2026, 12:30 p.m.
NEDg Description generation batch_6a29597ad87481909ab755b2320f276b completed June 10, 2026, 12:32 p.m.
NED2 Entity disambiguation (via description) batch_6a2959ef087081908141ffcbf6615d1c completed June 10, 2026, 12:34 p.m.
Created at: April 29, 2026, 6:52 p.m.