Triple

T32096356
Position Surface form Disambiguated ID Type / Status
Subject Lady of the Golden Wood E819731 entity
Predicate associatedWithRegion P285 FINISHED
Object The Golden Wood
The Golden Wood is the enchanted forest realm of Lothlórien in J.R.R. Tolkien’s Middle-earth, renowned for its golden mallorn trees and the protection of the Elven Lady Galadriel.
E1992553 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 Golden Wood | Statement: [Lady of the Golden Wood, associatedWithRegion, The Golden Wood]
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 Golden Wood
Triple: [Lady of the Golden Wood, associatedWithRegion, The Golden Wood]
Generated description
The Golden Wood is the enchanted forest realm of Lothlórien in J.R.R. Tolkien’s Middle-earth, renowned for its golden mallorn trees and the protection of the Elven Lady Galadriel.

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_69f34901106881908ea893ad504a08be completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b643d5008190b789f0a4d3288fa3 completed May 3, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0120104c81909ae32358ff3f241f completed June 14, 2026, 7:29 p.m.
NEDg Description generation batch_6a2f01a456dc81908db13502eee7fde9 completed June 14, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_6a2f02b7f21c81908bbf45cf1a616aab completed June 14, 2026, 7:36 p.m.
Created at: May 1, 2026, 12:26 a.m.