Triple

T26820402
Position Surface form Disambiguated ID Type / Status
Subject Peralta Hacienda Historical Park E675229 entity
Predicate associatedWith P37 FINISHED
Object Peralta family
The Peralta family was a prominent Californio landowning family whose vast Rancho San Antonio once encompassed much of what is now Oakland and the surrounding East Bay.
E954373 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: Peralta family | Statement: [Peralta Hacienda Historical Park, associatedWith, Peralta family]
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: Peralta family
Triple: [Peralta Hacienda Historical Park, associatedWith, Peralta family]
Generated description
The Peralta family was a prominent Californio landowning family whose vast Rancho San Antonio once encompassed much of what is now Oakland and the surrounding East Bay.

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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61a89d73c8190b1287cab1ce69805 completed May 2, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12097ada648190bf45371b8cdc261b completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a3f4550819095c30c79f5faa104 completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120b0abaf8819087003d4c7978853f completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 4:55 a.m.