Triple

T25406348
Position Surface form Disambiguated ID Type / Status
Subject Topanga Canyon Boulevard E636567 entity
Predicate alsoKnownAs P39 FINISHED
Object State Route 27
State Route 27 is a California state highway running through Topanga Canyon, connecting the Pacific Coast Highway in Malibu to the San Fernando Valley in Los Angeles.
 E2291730 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 27 | Statement: [Topanga Canyon Boulevard, alsoKnownAs, State Route 27]
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 27
Triple: [Topanga Canyon Boulevard, alsoKnownAs, State Route 27]
Generated description
State Route 27 is a California state highway running through Topanga Canyon, connecting the Pacific Coast Highway in Malibu to the San Fernando Valley in Los Angeles.

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_69e75db361d881908d8701c856da6413 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5850091e88190a6fbb9b2c33f46ed completed May 2, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c846c62bc819090258464e6ec5bc4 completed July 19, 2026, 8:01 a.m.
NEDg Description generation batch_6a5c85216f848190a905a237a95083e9 completed July 19, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a5c85713e708190be341dbdd21a7897 completed July 19, 2026, 8:06 a.m.
Created at: April 21, 2026, 1:52 p.m.