Triple

T25772230
Position Surface form Disambiguated ID Type / Status
Subject Portland municipal golf system E649050 entity
Predicate hasFacility P105 FINISHED
Object RedTail Golf Center
RedTail Golf Center is a public golf facility in the Portland area offering an 18-hole course, practice range, and instructional programs for golfers of all skill levels.
E1694062 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: RedTail Golf Center | Statement: [Portland municipal golf system, hasFacility, RedTail Golf Center]
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: RedTail Golf Center
Triple: [Portland municipal golf system, hasFacility, RedTail Golf Center]
Generated description
RedTail Golf Center is a public golf facility in the Portland area offering an 18-hole course, practice range, and instructional programs for golfers of all skill levels.

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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fe5a0ec0819085a2c7c652de294f completed May 2, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc1ed41481909977ba3c73e162b2 completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cde569f08190b5999538135c72a9 completed May 22, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a10ce8ce9dc819097e693a12731bf5d completed May 22, 2026, 9:45 p.m.
Created at: April 22, 2026, 5:30 a.m.