Triple
T7631594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand de Saussure |
E172769
|
entity |
| Predicate | proposedTerm |
P118
|
FINISHED |
| Object | semiology |
—
|
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: semiology | Statement: [Ferdinand de Saussure, proposedTerm, semiology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedTerm Context triple: [Ferdinand de Saussure, proposedTerm, semiology]
-
A.
coinedTerm
chosen
Indicates that an entity originated and introduced a particular term or expression into use.
-
B.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
C.
proposedStateName
Indicates that one entity has suggested or put forward a particular name to be used as the state name for another entity.
-
D.
coProposedBy
Indicates that a proposal, idea, or item is jointly put forward or suggested by multiple entities together.
-
E.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa4d2808190942129110711788b |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.