Triple

T30561768
Position Surface form Disambiguated ID Type / Status
Subject Crane, Oregon E777863 entity
Predicate namedAfter P63 FINISHED
Object Crane Creek
Crane Creek is a waterway in Oregon that serves as the namesake for the nearby community of Crane.
 E2294817 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: Crane Creek | Statement: [Crane, Oregon, namedAfter, Crane 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: Crane Creek
Triple: [Crane, Oregon, namedAfter, Crane Creek]
Generated description
Crane Creek is a waterway in Oregon that serves as the namesake for the nearby community of Crane.

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_69f2249ed41c8190b175170ecfd6e1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f688d92b748190a69e5b66ace513be completed May 2, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c217078b48190a9f30fd3ace2b6b4 completed Aug. 12, 2026, 7:32 a.m.
NEDg Description generation batch_6a7c21b59b988190a731dfae135e7264 completed Aug. 12, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a7c2226566c81908dd9098338f8f1b9 completed Aug. 12, 2026, 7:35 a.m.
Created at: April 29, 2026, 8:21 p.m.