Triple
T10554602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wren |
E249042
|
entity |
| Predicate | typicalLanguageOfUse |
P72909
|
FINISHED |
| Object | English |
E211
|
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: English | Statement: [Wren, typicalLanguageOfUse, English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English Context triple: [Wren, typicalLanguageOfUse, English]
-
A.
English
chosen
English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
-
B.
ENG
ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
-
C.
EN
EN is the standard abbreviation used in Portugal for "Estrada Nacional," the national road network.
-
D.
Angolalla
Angolalla is a historic town in central Ethiopia known as the birthplace of Emperor Menelik II.
-
E.
World English
World English is a phonetic notation system developed by Alexander Melville Bell to represent the sounds of spoken English with precision.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLanguageOfUse Context triple: [Wren, typicalLanguageOfUse, English]
-
A.
typicalLanguages
Indicates the languages that are commonly or characteristically used, spoken, or associated with a given entity.
-
B.
languageUsedAs
Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
-
C.
typicalLanguageUse
chosen
Indicates that one entity is the language most commonly or habitually used by another entity in ordinary communication or contexts.
-
D.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
E.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
- F. None of above.
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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9346f6a38819087647e7a09f40c41 |
completed | April 10, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:34 p.m.