Triple
T36556117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dor-en-Ernil |
E901702
|
entity |
| Predicate | hasElvishNameMeaning |
P190716
|
FINISHED |
| Object |
Land of the Prince
Land of the Prince is the English meaning of the Sindarin Elvish name Dor-en-Ernil, referring to a coastal fiefdom in Gondor in J.R.R. Tolkien’s Middle-earth.
|
E2189561
|
NE FINISHED |
How this triple was built (3 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: Land of the Prince | Statement: [Dor-en-Ernil, hasElvishNameMeaning, Land of the Prince]
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: Land of the Prince Triple: [Dor-en-Ernil, hasElvishNameMeaning, Land of the Prince]
Generated description
Land of the Prince is the English meaning of the Sindarin Elvish name Dor-en-Ernil, referring to a coastal fiefdom in Gondor in J.R.R. Tolkien’s Middle-earth.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElvishNameMeaning Context triple: [Dor-en-Ernil, hasElvishNameMeaning, Land of the Prince]
-
A.
hasElvishName
Indicates that an entity possesses a name expressed in the Elvish language.
-
B.
hasLatinNameMeaning
Indicates that an entity’s Latin name conveys a specific meaning or refers to a particular concept.
-
C.
hasGaelicNameMeaning
Indicates that an entity’s Gaelic name carries a specific meaning or translation.
-
D.
hasEnglishMeaningOfName
Indicates that one entity specifies the English meaning or interpretation of another entity’s name.
-
E.
hasMāoriNameMeaning
Indicates that an entity possesses a Māori name whose specific meaning or interpretation is being referenced.
- F. None of above. chosen
Provenance (7 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_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6f034fc8190af0ebae6ade6f48b |
completed | June 23, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a39e7fe56d88190ab437b0517616a9e |
completed | June 23, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39ed0fdd188190b4907f10ddafa856 |
completed | June 23, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: May 3, 2026, 4:11 p.m.