Triple
T2007189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French republicanism |
E43611
|
entity |
| Predicate | keyValue |
P35103
|
FINISHED |
| Object | universalism |
—
|
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: universalism | Statement: [French republicanism, keyValue, universalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyValue Context triple: [French republicanism, keyValue, universalism]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keyType
Indicates the classification or category of a key in relation to how it is used or defined within a system or context.
-
C.
keyPosition
Indicates the specific location or placement of a key within a defined space or system.
-
D.
keyText
Indicates that a piece of text functions as a key or identifier used to access, reference, or unlock something in a system or context.
-
E.
keyIndex
Indicates the position or numerical index assigned to a specific key within an ordered set or collection of keys.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8999e108190a07daa01452a5dab |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:37 p.m.