Triple

T27389445
Position Surface form Disambiguated ID Type / Status
Subject Lowell, Ohio E691478 entity
Predicate hasFeature P182 FINISHED
Object Lowell Lock and Dam
Lowell Lock and Dam is a historic lock-and-dam structure on the Muskingum River in Ohio that facilitates river navigation and reflects 19th-century inland waterway engineering.
 E1770550 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: Lowell Lock and Dam | Statement: [Lowell, Ohio, hasFeature, Lowell Lock and Dam]
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: Lowell Lock and Dam
Triple: [Lowell, Ohio, hasFeature, Lowell Lock and Dam]
Generated description
Lowell Lock and Dam is a historic lock-and-dam structure on the Muskingum River in Ohio that facilitates river navigation and reflects 19th-century inland waterway engineering.

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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62caba5308190b23ad58b88ea3110 completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7f1ea448190963fef55f58419d1 completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a8d49ae88190a9fba80993659445 completed May 24, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a12aa0a89b88190ad4e1c5b0e26205b completed May 24, 2026, 7:34 a.m.
Created at: April 27, 2026, 12:25 p.m.