Triple

T24060497
Position Surface form Disambiguated ID Type / Status
Subject South Hill, Spokane E595935 entity
Predicate containsDistrict P22582 FINISHED
Object Rockwood neighborhood
Rockwood neighborhood is a historic, tree-lined residential area in Spokane, Washington, known for its early 20th-century homes and distinctive Olmsted-designed boulevards.
E1621095 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: Rockwood neighborhood | Statement: [South Hill, Spokane, containsDistrict, Rockwood neighborhood]
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: Rockwood neighborhood
Triple: [South Hill, Spokane, containsDistrict, Rockwood neighborhood]
Generated description
Rockwood neighborhood is a historic, tree-lined residential area in Spokane, Washington, known for its early 20th-century homes and distinctive Olmsted-designed boulevards.

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_69e288c25c008190850cf447940ab181 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da55903c8190ad5d578e33a9dae9 completed April 29, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad081bb88190a5da3fe92d96ecca completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae2d71448190b191a4877c698840 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf073c088190bbf21e4dd0434fc1 completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 10:38 p.m.