Triple

T37068554
Position Surface form Disambiguated ID Type / Status
Subject Tây Hồ pagodas and temples E917515 entity
Predicate hasPart P35 FINISHED
Object Phủ Tây Hồ
Phủ Tây Hồ is a famous temple complex in Hanoi, Vietnam, dedicated primarily to the worship of Mother Goddess Liễu Hạnh and known as a major spiritual and cultural destination on the West Lake peninsula.
E2212014 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: Phủ Tây Hồ | Statement: [Tây Hồ pagodas and temples, hasPart, Phủ Tây Hồ]
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: Phủ Tây Hồ
Triple: [Tây Hồ pagodas and temples, hasPart, Phủ Tây Hồ]
Generated description
Phủ Tây Hồ is a famous temple complex in Hanoi, Vietnam, dedicated primarily to the worship of Mother Goddess Liễu Hạnh and known as a major spiritual and cultural destination on the West Lake peninsula.

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f921b3c8190820dc9650e0bf67e completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdbc6e808190b33edb32fb512786 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3efeafb124819087f472bb53b3c4e1 completed June 26, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_6a3eff31b0148190a5f314ce6a009c55 completed June 26, 2026, 10:37 p.m.
Created at: May 3, 2026, 4:14 p.m.