Triple

T26160113
Position Surface form Disambiguated ID Type / Status
Subject Maritime Museum Jakarta E660084 entity
Predicate occupiesFormer P3526 FINISHED
Object Dutch East India Company warehouses
The Dutch East India Company warehouses in Jakarta are historic colonial-era storage buildings once used for the spice and trade goods of the VOC, now preserved as part of the city’s maritime heritage.
E1252228 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: Dutch East India Company warehouses | Statement: [Maritime Museum Jakarta, occupiesFormer, Dutch East India Company warehouses]
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: Dutch East India Company warehouses
Triple: [Maritime Museum Jakarta, occupiesFormer, Dutch East India Company warehouses]
Generated description
The Dutch East India Company warehouses in Jakarta are historic colonial-era storage buildings once used for the spice and trade goods of the VOC, now preserved as part of the city’s maritime heritage.

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_69ee5bc5a9908190899d39ce95c6d215 completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c1487748190beb5bcdfe11837f1 completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127758eac8190943d0a958a0a885c completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a1151871df081908c64621371d034eb completed May 23, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_6a1151e1c41081908760685783e2a82a completed May 23, 2026, 7:06 a.m.
Created at: April 26, 2026, 8:29 p.m.