Triple

T27603151
Position Surface form Disambiguated ID Type / Status
Subject Bayfront Park E700104 entity
Predicate partOf P40 FINISHED
Object Mill Valley parks system
The Mill Valley parks system is the network of public parks and open spaces serving the community of Mill Valley, California, offering recreational facilities, natural areas, and waterfront access.
 E1780390 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: Mill Valley parks system | Statement: [Bayfront Park, partOf, Mill Valley parks system]
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: Mill Valley parks system
Triple: [Bayfront Park, partOf, Mill Valley parks system]
Generated description
The Mill Valley parks system is the network of public parks and open spaces serving the community of Mill Valley, California, offering recreational facilities, natural areas, and waterfront access.

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_69ef6a4e2e208190b63b7268f405785c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63097501081909d2b6b969f9a4e2b completed May 2, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0e7cea08190bdca6497f79d2b5e completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d1497cb4819085e9a1a5401d9118 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d2747f6881909aa2a5b0c389a494 completed May 24, 2026, 10:27 a.m.
Created at: April 27, 2026, 2:08 p.m.