Triple

T26792562
Position Surface form Disambiguated ID Type / Status
Subject Into the Wild E670554 entity
Predicate notableLocation P3858 FINISHED
Object Magic Bus 142
Magic Bus 142 is the abandoned Fairbanks city bus in the Alaskan wilderness that became famous as the final refuge of Christopher McCandless in Jon Krakauer’s book and the film "Into the Wild."
 E1740450 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: Magic Bus 142 | Statement: [Into the Wild, notableLocation, Magic Bus 142]
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: Magic Bus 142
Triple: [Into the Wild, notableLocation, Magic Bus 142]
Generated description
Magic Bus 142 is the abandoned Fairbanks city bus in the Alaskan wilderness that became famous as the final refuge of Christopher McCandless in Jon Krakauer’s book and the film "Into the Wild."

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_69eeb31d45f8819089f52ebdbc556218 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f619bd27908190ac9152693dd37658 completed May 2, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12096730d881909e73d3ed5e142f3f completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a10905c819096fa77fad68b6bb8 completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120aeed5ec819097f7ac08533bcf65 completed May 23, 2026, 8:15 p.m.
Created at: April 27, 2026, 4:17 a.m.