Triple

T26723769
Position Surface form Disambiguated ID Type / Status
Subject CA 905 E673777 entity
Predicate hasJunction P1018 FINISHED
Object State Route 11
State Route 11 is a short California state highway in the San Diego area designed to connect State Route 905 to future border infrastructure near the U.S.–Mexico boundary.
 E2293088 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 11 | Statement: [CA 905, hasJunction, State Route 11]
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 11
Triple: [CA 905, hasJunction, State Route 11]
Generated description
State Route 11 is a short California state highway in the San Diego area designed to connect State Route 905 to future border infrastructure near the U.S.–Mexico boundary.

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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6180805e08190ba2b37decca784ce completed May 2, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a65d0c1b88190bd1e3f7b0eaf4c5c completed Aug. 10, 2026, 11:59 p.m.
NEDg Description generation batch_6a7a661ca6648190ade6baf8776ec857 completed Aug. 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a7a6672d3848190b78360d61999b9e3 completed Aug. 11, 2026, 12:01 a.m.
Created at: April 27, 2026, 3:41 a.m.