Triple

T23687774
Position Surface form Disambiguated ID Type / Status
Subject Jeffboat Inc. E585214 entity
Predicate parentCompany P254 FINISHED
Object American Commercial Lines
American Commercial Lines is a major U.S. inland marine transportation and barge manufacturing company that operates on the nation’s river systems.
 E1594468 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: American Commercial Lines | Statement: [Jeffboat Inc., parentCompany, American Commercial Lines]
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: American Commercial Lines
Triple: [Jeffboat Inc., parentCompany, American Commercial Lines]
Generated description
American Commercial Lines is a major U.S. inland marine transportation and barge manufacturing company that operates on the nation’s river systems.

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_69e249037ce0819088b149608e98f685 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b5bfe15c8190af2b4c451bccae16 completed April 29, 2026, 7:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45c3407881909db4fcae7fcb8597 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f4671511081908f0136d26bce0eb9 completed May 21, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0f474266a08190b62dd3968b832a5a completed May 21, 2026, 5:56 p.m.
Created at: April 17, 2026, 6:52 p.m.