Triple

T27173285
Position Surface form Disambiguated ID Type / Status
Subject Exxon Valdez E682975 entity
Predicate operator P179 FINISHED
Object Exxon Shipping Company
Exxon Shipping Company was the marine transportation subsidiary of Exxon Corporation, best known for operating the tanker involved in the 1989 Exxon Valdez oil spill in Alaska.
E1760291 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: Exxon Shipping Company | Statement: [Exxon Valdez, operator, Exxon Shipping Company]
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: Exxon Shipping Company
Triple: [Exxon Valdez, operator, Exxon Shipping Company]
Generated description
Exxon Shipping Company was the marine transportation subsidiary of Exxon Corporation, best known for operating the tanker involved in the 1989 Exxon Valdez oil spill in Alaska.

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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62549039c8190af7159d07416c985 completed May 2, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a125388d6a0819092971a404f7992c5 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12546f814881908c806a1805b7473d completed May 24, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_6a125512eb608190b958f82af3475535 completed May 24, 2026, 1:32 a.m.
Created at: April 27, 2026, 9:24 a.m.