Triple

T24539776
Position Surface form Disambiguated ID Type / Status
Subject Mount Surprise E607057 entity
Predicate mountainRange P648 FINISHED
Object White Mountains
The White Mountains are a prominent mountain range in northern New Hampshire and western Maine, famed for their rugged peaks, extensive hiking trails, and popular outdoor recreation areas including the Presidential Range and Mount Washington.
 E24107 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: White Mountains | Statement: [Mount Surprise, mountainRange, White Mountains]
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: White Mountains
Triple: [Mount Surprise, mountainRange, White Mountains]
Generated description
The White Mountains are a prominent mountain range in northern New Hampshire and western Maine, famed for their rugged peaks, extensive hiking trails, and popular outdoor recreation areas including the Presidential Range and Mount Washington.

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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8a2f0d88190a3dcc043cb21aaa2 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100fe3950c81909cd8bf6a413402cd completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136871588190b4e4b4618ab7a400 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10141161b08190b471a7882a4d8aa0 completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 2:26 a.m.