Triple
T7755097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–France relations |
E175871
|
entity |
| Predicate | sharedValue |
P78528
|
FINISHED |
| Object | democracy |
—
|
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: democracy | Statement: [United States–France relations, sharedValue, democracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedValue Context triple: [United States–France relations, sharedValue, democracy]
-
A.
sharedBetweenState
Indicates that something is jointly possessed, controlled, or utilized by multiple states or state-level entities.
-
B.
sharesBaseWith
Indicates that two entities have a common underlying base element, source, or component from which they are derived or constructed.
-
C.
share
Indicates that one entity gives, divides, or jointly uses a resource, item, or information with another entity.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesInitialWith
Indicates that two entities have names or identifiers that begin with the same initial character.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:08 p.m.