Triple
T37904776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Alternate Reality Empire |
E945516
|
entity |
| Predicate | languageOfConcept |
P203677
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Spanish Alternate Reality Empire, languageOfConcept, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfConcept Context triple: [Spanish Alternate Reality Empire, languageOfConcept, English]
-
A.
languageOfWord
Indicates that a particular language is the one in which a given word is expressed or defined.
-
B.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
-
C.
languageLabel
Indicates the human-readable name or label of a language associated with an entity or resource.
-
D.
languageRefersTo
Indicates that a language is used to denote, describe, or refer to a particular entity, concept, or subject.
-
E.
languageNameMeaning
Indicates that the predicate relates a language’s name to its meaning or etymological significance.
- F. None of above. chosen
Provenance (4 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01c41dfe248190a68f4a262591b30f |
completed | May 11, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a01c375d14c8190a15bfa12623588a9 |
completed | May 11, 2026, 11:54 a.m. |
| PDg | Predicate description generation | batch_6a01c41d38608190923c5fd32a59b865 |
completed | May 11, 2026, 11:57 a.m. |
Created at: May 3, 2026, 4:20 p.m.