Triple

T25303948
Position Surface form Disambiguated ID Type / Status
Subject Historic Inner City of Paramaribo E634428 entity
Predicate contains P35 FINISHED
Object Neveh Shalom Synagogue
Neveh Shalom Synagogue is a historic Jewish house of worship in Paramaribo, Suriname, notable as one of the oldest synagogues in the Americas and for its proximity to the city’s central mosque.
E1675544 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: Neveh Shalom Synagogue | Statement: [Historic Inner City of Paramaribo, contains, Neveh Shalom Synagogue]
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: Neveh Shalom Synagogue
Triple: [Historic Inner City of Paramaribo, contains, Neveh Shalom Synagogue]
Generated description
Neveh Shalom Synagogue is a historic Jewish house of worship in Paramaribo, Suriname, notable as one of the oldest synagogues in the Americas and for its proximity to the city’s central mosque.

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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f49398af708190b18a5af8ea3f738a completed May 1, 2026, 11:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075dd37d88190aa55a82ca7dce77c completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a107730a4ec8190a1f21393c94ab732 completed May 22, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a1077e5ab8c8190b7e81764d7aacc72 completed May 22, 2026, 3:36 p.m.
Created at: April 21, 2026, 1:25 p.m.