Triple
T11543693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westmarch |
E273731
|
entity |
| Predicate | languageInLore |
P43064
|
FINISHED |
| Object | Common tongue of Sanctuary |
—
|
LITERAL 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: Common tongue of Sanctuary | Statement: [Westmarch, languageInLore, Common tongue of Sanctuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageInLore Context triple: [Westmarch, languageInLore, Common tongue of Sanctuary]
-
A.
languageOfFictionalUniverse
chosen
Indicates the language used or spoken within a fictional universe or setting.
-
B.
languageOfMyths
Indicates that the subject is the language in which the myths associated with the object are told or recorded.
-
C.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
D.
hasLanguageInUniverse
Indicates that a particular language exists or is used within a specified fictional or conceptual universe.
-
E.
languageAttestedIn
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
- F. None of above.
Provenance (3 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.