Triple

T30034833
Position Surface form Disambiguated ID Type / Status
Subject East India Company ships E763124 entity
Predicate builtIn P8585 FINISHED
Object Blackwall Yard
Blackwall Yard was a major historic shipbuilding and repair yard on the River Thames in London, renowned for constructing many notable vessels for the British East India Company.
E1896047 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: Blackwall Yard | Statement: [East India Company ships, builtIn, Blackwall Yard]
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: Blackwall Yard
Triple: [East India Company ships, builtIn, Blackwall Yard]
Generated description
Blackwall Yard was a major historic shipbuilding and repair yard on the River Thames in London, renowned for constructing many notable vessels for the British East India Company.

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_69f679d37ea4819096dd4a2352798748 completed May 2, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a273235d378819089c3f6396c47085e completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a2733b478588190829fde78ec103f6d completed June 8, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a2734d963048190bdd26f2b580a3b41 completed June 8, 2026, 9:32 p.m.
Created at: April 29, 2026, 6:50 p.m.