Triple

T22348294
Position Surface form Disambiguated ID Type / Status
Subject Matadero Creek E552454 entity
Predicate hasBridge P386 FINISHED
Object Embarcadero Road bridge
The Embarcadero Road bridge is a roadway bridge in Palo Alto, California, that carries Embarcadero Road over Matadero Creek as part of a major east–west traffic corridor.
E1642405 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: Embarcadero Road bridge | Statement: [Matadero Creek, hasBridge, Embarcadero Road bridge]
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: Embarcadero Road bridge
Triple: [Matadero Creek, hasBridge, Embarcadero Road bridge]
Generated description
The Embarcadero Road bridge is a roadway bridge in Palo Alto, California, that carries Embarcadero Road over Matadero Creek as part of a major east–west traffic corridor.

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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff8235ccc81909245851393c7a383 completed May 22, 2026, 6:30 a.m.
NEDg Description generation batch_6a0ff8eff7248190afaf5cccdd4a3444 completed May 22, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9e322348190889da12091a92bb4 completed May 22, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:43 p.m.