Triple

T24013633
Position Surface form Disambiguated ID Type / Status
Subject Herstmonceux Castle E594606 entity
Predicate nearby P350 FINISHED
Object The Observatory Science Centre
The Observatory Science Centre is a public science and astronomy attraction in East Sussex, England, featuring historic telescopes, interactive exhibits, and educational activities for visitors.
E1614619 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 Observatory Science Centre | Statement: [Herstmonceux Castle, nearby, The Observatory Science Centre]
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 Observatory Science Centre
Triple: [Herstmonceux Castle, nearby, The Observatory Science Centre]
Generated description
The Observatory Science Centre is a public science and astronomy attraction in East Sussex, England, featuring historic telescopes, interactive exhibits, and educational activities for visitors.

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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5a0aa408190a27fca07777cda05 completed April 29, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e9fe8d48190a8ce796c40ec3b9a completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f4e4b9081909cf4a5a60f4da17f completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f80468e208190813d392e9e478151 completed May 21, 2026, 9:59 p.m.
Created at: April 17, 2026, 9:41 p.m.