Triple
T3583003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIN |
E75843
|
entity |
| Predicate | encodingRole |
P49872
|
FINISHED |
| Object | unique identifier for Finland in ISO 3166-1 |
—
|
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: unique identifier for Finland in ISO 3166-1 | Statement: [FIN, encodingRole, unique identifier for Finland in ISO 3166-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodingRole Context triple: [FIN, encodingRole, unique identifier for Finland in ISO 3166-1]
-
A.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
B.
secretRole
Indicates that an entity holds a role or function that is intentionally hidden or not publicly disclosed within a given context.
-
C.
mediaRole
Indicates the specific function, capacity, or position an entity holds in relation to a media item (such as creator, editor, performer, or distributor).
-
D.
displayRole
Indicates the role or position an entity holds in the context of how it is presented or shown in a display.
-
E.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
- F. None of above. chosen
Provenance (4 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:21 p.m.