Triple

T27424612
Position Surface form Disambiguated ID Type / Status
Subject Grewingk Glacier E690446 entity
Predicate drainsInto P4497 FINISHED
Object Grewingk Creek
Grewingk Creek is a glacial meltwater stream in Alaska that carries runoff from Grewingk Glacier through rugged coastal terrain toward Kachemak Bay.
E2292497 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: Grewingk Creek | Statement: [Grewingk Glacier, drainsInto, Grewingk 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: Grewingk Creek
Triple: [Grewingk Glacier, drainsInto, Grewingk Creek]
Generated description
Grewingk Creek is a glacial meltwater stream in Alaska that carries runoff from Grewingk Glacier through rugged coastal terrain toward Kachemak 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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a799e33d4408190a5f1a51fdcea6a0c completed Aug. 10, 2026, 9:47 a.m.
NEDg Description generation batch_6a799f164d308190a74cf50c3e57f77a completed Aug. 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a799f82cf788190a175543ff0a3fa67 completed Aug. 10, 2026, 9:53 a.m.
Created at: April 27, 2026, 12:40 p.m.