Triple

T34393913
Position Surface form Disambiguated ID Type / Status
Subject Keppel Corporation E882778 entity
Predicate subsidiary P258 FINISHED
Object Keppel Offshore & Marine
Keppel Offshore & Marine is a Singapore-based company specializing in the design, construction, repair, and conversion of offshore rigs, ships, and other marine structures for the global energy and maritime industries.
E882778 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: Keppel Offshore & Marine | Statement: [Keppel Corporation, subsidiary, Keppel Offshore & Marine]
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: Keppel Offshore & Marine
Triple: [Keppel Corporation, subsidiary, Keppel Offshore & Marine]
Generated description
Keppel Offshore & Marine is a Singapore-based company specializing in the design, construction, repair, and conversion of offshore rigs, ships, and other marine structures for the global energy and maritime industries.

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_69f349c1304081909331872829e38106 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f718944698819090fc23cb86ace435 completed May 3, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a370dc223d481909c8e2c18ea2af3ca completed June 20, 2026, 10:01 p.m.
NEDg Description generation batch_6a370e7dcd88819091a402e550189e46 completed June 20, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_6a370f28a640819080ccc586b22bd785 completed June 20, 2026, 10:07 p.m.
Created at: May 1, 2026, 1:59 a.m.