Triple

T36558117
Position Surface form Disambiguated ID Type / Status
Subject Cape Andrast E901748 entity
Predicate alsoKnownAs P39 FINISHED
Object Andrast
Andrast is a coastal region in J.R.R. Tolkien’s Middle-earth, known as the rugged, sparsely inhabited cape at the western end of Gondor.
E2196191 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: Andrast | Statement: [Cape Andrast, alsoKnownAs, Andrast]
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: Andrast
Triple: [Cape Andrast, alsoKnownAs, Andrast]
Generated description
Andrast is a coastal region in J.R.R. Tolkien’s Middle-earth, known as the rugged, sparsely inhabited cape at the western end of Gondor.

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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c27993b881909fffcea6e02d07fd completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a380d26288190b2942b781d143306 completed June 23, 2026, 7:38 a.m.
NEDg Description generation batch_6a3a3e89ed5081908078fef260601e7d completed June 23, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3a40571818819080e8388d0d917ff3 completed June 23, 2026, 8:14 a.m.
Created at: May 3, 2026, 4:11 p.m.