Triple

T33877707
Position Surface form Disambiguated ID Type / Status
Subject Stanbury E868399 entity
Predicate hasPublicHouse P20132 FINISHED
Object The Wuthering Heights Inn
The Wuthering Heights Inn is a traditional English pub in the village of Stanbury, West Yorkshire, associated with the moorland setting that inspired Emily Brontë’s novel "Wuthering Heights."
E2071618 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 Wuthering Heights Inn | Statement: [Stanbury, hasPublicHouse, The Wuthering Heights Inn]
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 Wuthering Heights Inn
Triple: [Stanbury, hasPublicHouse, The Wuthering Heights Inn]
Generated description
The Wuthering Heights Inn is a traditional English pub in the village of Stanbury, West Yorkshire, associated with the moorland setting that inspired Emily Brontë’s novel "Wuthering Heights."

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_69f34995b81c8190acdb45cea5a10eff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701070608819091d0e820e8bff755 completed May 3, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36762c4df881908ebcbdba7dc99957 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676e442208190b316373c4b23df03 completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3677b8a3748190895cb5ccd2f90f6b completed June 20, 2026, 11:21 a.m.
Created at: May 1, 2026, 1:48 a.m.