Triple

T34553305
Position Surface form Disambiguated ID Type / Status
Subject San Francisquito Creek E887132 entity
Predicate hasTributary P415 FINISHED
Object Los Trancos Creek
Los Trancos Creek is a small stream in the San Francisco Peninsula that flows through the foothills of the Santa Cruz Mountains before joining San Francisquito Creek.
E2286516 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: Los Trancos Creek | Statement: [San Francisquito Creek, hasTributary, Los Trancos Creek]
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: Los Trancos Creek
Triple: [San Francisquito Creek, hasTributary, Los Trancos Creek]
Generated description
Los Trancos Creek is a small stream in the San Francisco Peninsula that flows through the foothills of the Santa Cruz Mountains before joining San Francisquito Creek.

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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72029a73c8190ac6969098273c1eb completed May 3, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a46bbcc76408190bd158436561bec1b completed July 2, 2026, 7:28 p.m.
NEDg Description generation batch_6a46bf9fb2088190954c25e5cf90c413 completed July 2, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a46c0351000819083fd6182405affa5 completed July 2, 2026, 7:47 p.m.
Created at: May 1, 2026, 2:02 a.m.