Triple
T21208352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezel |
E522649
|
entity |
| Predicate | modernOfficialLanguageOfArea |
P96074
|
FINISHED |
| Object | Estonian |
—
|
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: Estonian | Statement: [Ezel, modernOfficialLanguageOfArea, Estonian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernOfficialLanguageOfArea Context triple: [Ezel, modernOfficialLanguageOfArea, Estonian]
-
A.
countryOfficialLanguageStatus
Indicates the status or role that a particular language holds as an official language within a given country.
-
B.
hasLanguageOfficial
Indicates that a language holds official status within a given entity, such as a country, region, or organization.
-
C.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
D.
shareOfficialLanguage
Indicates that two entities have at least one official language in common.
-
E.
hasOfficialLanguageOfLocation
chosen
Indicates that a location has a specified language recognized as its official language.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:25 p.m.