Triple

T17665100
Position Surface form Disambiguated ID Type / Status
Subject California State Route 203 E440356 entity
Predicate officialName P66 FINISHED
Object State Route 203
State Route 203 is a California state highway that provides access to the town of Mammoth Lakes and the Mammoth Mountain ski area in the eastern Sierra Nevada.
E2063810 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: State Route 203 | Statement: [California State Route 203, officialName, State Route 203]
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: State Route 203
Triple: [California State Route 203, officialName, State Route 203]
Generated description
State Route 203 is a California state highway that provides access to the town of Mammoth Lakes and the Mammoth Mountain ski area in the eastern Sierra Nevada.

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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea8accc8190beea0900b0614020 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363c6a7d8c81909089eab80a8aaa46 completed June 20, 2026, 7:08 a.m.
NEDg Description generation batch_6a364ba0f2a08190a4a52f9d32829a9f completed June 20, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a364c67a6bc8190a2c149406910a337 completed June 20, 2026, 8:16 a.m.
Created at: April 10, 2026, 9:56 a.m.