Triple
T22174946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isti |
E548024
|
entity |
| Predicate | notTypicallyUsedAsOfficialName |
P13450
|
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: [Isti, notTypicallyUsedAsOfficialName, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notTypicallyUsedAsOfficialName Context triple: [Isti, notTypicallyUsedAsOfficialName, true]
-
A.
notOfficialNameOf
chosen
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
B.
hasNoOfficialName
Indicates that the entity does not have an officially recognized or formally assigned name.
-
C.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
D.
notOfficialIn
Indicates that an entity does not hold an official role, status, or position within a specified organization, group, or jurisdiction.
-
E.
hasOfficialUNName
Indicates that an entity possesses an official name as formally recognized by the United Nations.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6b755c81909e9bd2a588c065b3 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.