Triple

T27804155
Position Surface form Disambiguated ID Type / Status
Subject The Land of the Sleeping Giant E702328 entity
Predicate associatedWith P37 FINISHED
Object Sleeping Giant mountain
Sleeping Giant mountain is a distinctive landform whose profile resembles a reclining human figure, inspiring local legends and serving as a prominent natural landmark.
E1788747 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: Sleeping Giant mountain | Statement: [The Land of the Sleeping Giant, associatedWith, Sleeping Giant mountain]
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: Sleeping Giant mountain
Triple: [The Land of the Sleeping Giant, associatedWith, Sleeping Giant mountain]
Generated description
Sleeping Giant mountain is a distinctive landform whose profile resembles a reclining human figure, inspiring local legends and serving as a prominent natural landmark.

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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63838b520819099c7ac2fe66fefb7 completed May 2, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecd4dcf08190874aba17015a9280 completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed7a78d08190870ba1ddf76ba779 completed May 24, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee55079881908070830187dedd6d completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 5:37 p.m.