Triple
T21923186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EHCB |
E541371
|
entity |
| Predicate | hasBilingualIdentity |
P5152
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [EHCB, hasBilingualIdentity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBilingualIdentity Context triple: [EHCB, hasBilingualIdentity, true]
-
A.
isBilingual
chosen
Indicates that an entity is able to communicate fluently in two distinct languages.
-
B.
isBilingualRegion
Indicates that a region officially uses two languages or has two predominant languages in regular use.
-
C.
isBinational
Indicates that an entity is associated with or recognized by two distinct nations, such as holding dual nationality or operating under the authority of two countries.
-
D.
bilingualismWith
Indicates a relationship where an entity possesses or is associated with the ability to use two specified languages.
-
E.
bilingualName
Indicates that an entity has a name expressed in two different languages, linking the entity to its bilingual designation.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233d096c8190af0d7cd21879c91b |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:45 p.m.