Triple

T28889867
Position Surface form Disambiguated ID Type / Status
Subject Anórien E732666 entity
Predicate liesBetween P1262 FINISHED
Object White Mountains
The White Mountains are a prominent mountain range in J.R.R. Tolkien’s Middle-earth, forming a massive barrier across the south of Gondor and Rohan and hosting key locations such as Minas Tirith and the Paths of the Dead.
 E271653 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: White Mountains | Statement: [Anórien, liesBetween, White Mountains]
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: White Mountains
Triple: [Anórien, liesBetween, White Mountains]
Generated description
The White Mountains are a prominent mountain range in J.R.R. Tolkien’s Middle-earth, forming a massive barrier across the south of Gondor and Rohan and hosting key locations such as Minas Tirith and the Paths of the Dead.

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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65a744e1c8190bff56db4cb0b68df completed May 2, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec32deb8819095cae7528baed53e completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f3f8f338819091246a60c657e8c3 completed June 7, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a24f418018081908f81e51f8c5a68e8 completed June 7, 2026, 4:31 a.m.
Created at: April 28, 2026, 7:54 a.m.