Triple
T12688391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airik |
E303132
|
entity |
| Predicate | hasLanguageInCountry |
P106335
|
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: [Airik, hasLanguageInCountry, English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English Context triple: [Airik, hasLanguageInCountry, 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: hasLanguageInCountry Context triple: [Airik, hasLanguageInCountry, English]
-
A.
hasLanguageOfSurroundingCountries
Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
-
B.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
C.
hasOfficialCountryLanguage
Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
hasRepresentativeLanguage
Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
- F. None of above. chosen
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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671aacfa8819088fd113474638238 |
completed | May 2, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96297b81c819081ad1432dc5f15f4 |
completed | April 10, 2026, 8:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.