Triple
T3938772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Managua |
E90980
|
entity |
| Predicate | ianaDatabaseField |
P14546
|
FINISHED |
| Object | zone.tab |
—
|
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: zone.tab | Statement: [America/Managua, ianaDatabaseField, zone.tab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ianaDatabaseField Context triple: [America/Managua, ianaDatabaseField, zone.tab]
-
A.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
B.
databaseKey
Indicates that one entity serves as a unique key or identifier for accessing or referencing another entity within a database.
-
C.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
D.
fieldName
chosen
Indicates the specific name or label assigned to a field within a data structure, form, or record.
-
E.
definesField
Indicates that one entity specifies or declares a particular field or attribute that belongs to or characterizes another entity.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.