Triple

T34838426
Position Surface form Disambiguated ID Type / Status
Subject Ludlow Mills complex E1004265 entity
Predicate hasBuilding P105 FINISHED
Object Mill 8
Mill 8 is one of the historic industrial mill buildings within the Ludlow Mills complex in Ludlow, Massachusetts, reflecting the area's early 20th-century textile manufacturing heritage.
E2114475 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: Mill 8 | Statement: [Ludlow Mills complex, hasBuilding, Mill 8]
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: Mill 8
Triple: [Ludlow Mills complex, hasBuilding, Mill 8]
Generated description
Mill 8 is one of the historic industrial mill buildings within the Ludlow Mills complex in Ludlow, Massachusetts, reflecting the area's early 20th-century textile manufacturing heritage.

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_69f76db97714819099b5bed36fd64e9d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7812cd1cc819083c3c02c338d6a7d completed May 3, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37794c6684819090dfd1e890662c0a completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a3779d574e481909c73b8be299eae8f completed June 21, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a377a7836bc8190a77adab5c1c04df7 completed June 21, 2026, 5:45 a.m.
Created at: May 3, 2026, 4 p.m.