Triple

T30093872
Position Surface form Disambiguated ID Type / Status
Subject Armco-Ferro House E764809 entity
Predicate associatedWith P37 FINISHED
Object Ferro Enamel Corporation
Ferro Enamel Corporation was an American industrial company known for producing porcelain enamel and related coatings, notably used in innovative architectural projects like the Armco-Ferro House.
E1899471 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: Ferro Enamel Corporation | Statement: [Armco-Ferro House, associatedWith, Ferro Enamel Corporation]
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: Ferro Enamel Corporation
Triple: [Armco-Ferro House, associatedWith, Ferro Enamel Corporation]
Generated description
Ferro Enamel Corporation was an American industrial company known for producing porcelain enamel and related coatings, notably used in innovative architectural projects like the Armco-Ferro House.

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_69f22473c0fc8190a926a8051b3b378b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d8e989081909d062bcf86c82ca2 completed May 2, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27432af84881909f6dfa4acb62e18d completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a2743cf9c208190965b51fdc3713824 completed June 8, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_6a27448fcf748190a4e15ef2f89f56f5 completed June 8, 2026, 10:39 p.m.
Created at: April 29, 2026, 7:06 p.m.