Triple

T23532978
Position Surface form Disambiguated ID Type / Status
Subject Little India, Singapore E576618 entity
Predicate hasLandmark P105 FINISHED
Object Sri Srinivasa Perumal Temple
Sri Srinivasa Perumal Temple is a historic and prominent Hindu temple in Singapore, renowned for its Dravidian architecture and significance to the local Indian community.
E1608370 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: Sri Srinivasa Perumal Temple | Statement: [Little India, Singapore, hasLandmark, Sri Srinivasa Perumal Temple]
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: Sri Srinivasa Perumal Temple
Triple: [Little India, Singapore, hasLandmark, Sri Srinivasa Perumal Temple]
Generated description
Sri Srinivasa Perumal Temple is a historic and prominent Hindu temple in Singapore, renowned for its Dravidian architecture and significance to the local Indian community.

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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac79800081908907bce55b9c68cf completed April 29, 2026, 7 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f75eeea008190a648a52c94ad4866 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f77b76ab08190b2caf42777492249 completed May 21, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7893346c81908879db417e4854d1 completed May 21, 2026, 9:26 p.m.
Created at: April 17, 2026, 6:10 p.m.