Triple

T26094939
Position Surface form Disambiguated ID Type / Status
Subject Naval Surface Warfare Center Port Hueneme Division E658235 entity
Predicate partOf P40 FINISHED
Object Naval Surface Warfare Center
The Naval Surface Warfare Center is a U.S. Navy research, development, test, and evaluation organization focused on surface ship systems, weapons, and related technologies.
E1706682 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: Naval Surface Warfare Center | Statement: [Naval Surface Warfare Center Port Hueneme Division, partOf, Naval Surface Warfare Center]
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: Naval Surface Warfare Center
Triple: [Naval Surface Warfare Center Port Hueneme Division, partOf, Naval Surface Warfare Center]
Generated description
The Naval Surface Warfare Center is a U.S. Navy research, development, test, and evaluation organization focused on surface ship systems, weapons, and related technologies.

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_69ee5bbfc4d08190a1b206d0ac3a1e8d completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f607347dd881909aa749e2f3527adb completed May 2, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b4029c4819084d34feac3f03a1a completed May 23, 2026, 3:13 a.m.
NEDg Description generation batch_6a111c7f25788190ab64d5bd35a691c3 completed May 23, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a111d2b601881909f79329b949194e5 completed May 23, 2026, 3:21 a.m.
Created at: April 26, 2026, 7:50 p.m.