Triple

T35606660
Position Surface form Disambiguated ID Type / Status
Subject Ladhar Bheinn E1028911 entity
Predicate hasTopoMap P10300 FINISHED
Object OS Explorer 413
OS Explorer 413 is a detailed Ordnance Survey topographic map sheet covering the mountainous area around Ladhar Bheinn on Scotland’s Knoydart peninsula, used primarily by hikers and outdoor enthusiasts.
E2150405 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: OS Explorer 413 | Statement: [Ladhar Bheinn, hasTopoMap, OS Explorer 413]
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: OS Explorer 413
Triple: [Ladhar Bheinn, hasTopoMap, OS Explorer 413]
Generated description
OS Explorer 413 is a detailed Ordnance Survey topographic map sheet covering the mountainous area around Ladhar Bheinn on Scotland’s Knoydart peninsula, used primarily by hikers and outdoor enthusiasts.

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_69f76e0653ec81909b1b813c126c6574 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ec6feb081909f570ed388565454 completed May 3, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3868449a5c8190881b0b9bf182d299 completed June 21, 2026, 10:40 p.m.
NEDg Description generation batch_6a386957440c8190bd915a724bbb08ac completed June 21, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a386d862ec88190b40655d39c07c623 completed June 21, 2026, 11:02 p.m.
Created at: May 3, 2026, 4:05 p.m.