Triple

T28317796
Position Surface form Disambiguated ID Type / Status
Subject Little Melton E717186 entity
Predicate hasPublicHouse P20132 FINISHED
Object The Village Inn, Little Melton
The Village Inn, Little Melton is a traditional English village pub serving as a local social hub in the Norfolk village of Little Melton.
E1811826 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: The Village Inn, Little Melton | Statement: [Little Melton, hasPublicHouse, The Village Inn, Little Melton]
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: The Village Inn, Little Melton
Triple: [Little Melton, hasPublicHouse, The Village Inn, Little Melton]
Generated description
The Village Inn, Little Melton is a traditional English village pub serving as a local social hub in the Norfolk village of Little Melton.

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_69eff6e6c3b08190ad78de6ba7f04548 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f644ea4f688190aa0f015fc9c07afe completed May 2, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1607405c248190bb38017b847dfdab completed May 26, 2026, 8:49 p.m.
NEDg Description generation batch_6a161433b69c81909fdd10b625bcfb9d completed May 26, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a16149e8dd48190996fb7f0f32fb031 completed May 26, 2026, 9:46 p.m.
Created at: April 28, 2026, 12:22 a.m.