Triple

T34501067
Position Surface form Disambiguated ID Type / Status
Subject Pacific Ocean seafloor E885753 entity
Predicate hasFeature P182 FINISHED
Object Clarion Fracture Zone
Clarion Fracture Zone is a major submarine fracture zone in the eastern Pacific Ocean, notable for its long, linear seafloor scar that marks a significant tectonic boundary.
E2101498 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: Clarion Fracture Zone | Statement: [Pacific Ocean seafloor, hasFeature, Clarion Fracture Zone]
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: Clarion Fracture Zone
Triple: [Pacific Ocean seafloor, hasFeature, Clarion Fracture Zone]
Generated description
Clarion Fracture Zone is a major submarine fracture zone in the eastern Pacific Ocean, notable for its long, linear seafloor scar that marks a significant tectonic boundary.

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_69f349cc0220819081f154c6964f4dc2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71f5208688190aff1e1dd867da7bb completed May 3, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a373614573c81909acb3368aa06b198 completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a3736b9716881908d7dcc37fd79a89b completed June 21, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a37375fecf081908a85fdb46751fc6b completed June 21, 2026, 12:59 a.m.
Created at: May 1, 2026, 2:01 a.m.