Triple

T27436287
Position Surface form Disambiguated ID Type / Status
Subject California State Route 155 E690790 entity
Predicate hasOfficialName P66 FINISHED
Object State Route 155
State Route 155 is a state highway in California that runs through Kern and Tulare counties, connecting the San Joaquin Valley with the southern Sierra Nevada region.
E2293769 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 155 | Statement: [California State Route 155, hasOfficialName, State Route 155]
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 155
Triple: [California State Route 155, hasOfficialName, State Route 155]
Generated description
State Route 155 is a state highway in California that runs through Kern and Tulare counties, connecting the San Joaquin Valley with the southern Sierra Nevada region.

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_69ef5200fa0481908e28508d6e2c149e completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7aff72c1ec81909debc8a1d89c5ce7 completed Aug. 11, 2026, 10:54 a.m.
NEDg Description generation batch_6a7b000c93f48190a1737cae84b92396 completed Aug. 11, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a7b005e2c9c8190a84be2b495abb0f9 completed Aug. 11, 2026, 10:58 a.m.
Created at: April 27, 2026, 12:43 p.m.