Triple

T29699575
Position Surface form Disambiguated ID Type / Status
Subject Mount Ostenso E751441 entity
Predicate category P87 FINISHED
Object Mountains of Ellsworth Land
The Mountains of Ellsworth Land are a group of prominent, largely ice-covered mountain ranges located in Ellsworth Land in West Antarctica.
 E1880150 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: Mountains of Ellsworth Land | Statement: [Mount Ostenso, category, Mountains of Ellsworth Land]
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: Mountains of Ellsworth Land
Triple: [Mount Ostenso, category, Mountains of Ellsworth Land]
Generated description
The Mountains of Ellsworth Land are a group of prominent, largely ice-covered mountain ranges located in Ellsworth Land in West Antarctica.

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_69f0d6266f8481909e70bb41cda18587 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672b30ed88190bef8e60e45b01dd7 completed May 2, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267ed2662081909896d92e22acd52d completed June 8, 2026, 8:35 a.m.
NEDg Description generation batch_6a2689dc7dbc8190abdd3f95360c0fba completed June 8, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_6a268ad0e6f08190aa30446454b74759 completed June 8, 2026, 9:26 a.m.
Created at: April 28, 2026, 7:22 p.m.