Triple
T21909322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahakavi |
E541020
|
entity |
| Predicate | KaviMeans |
P56476
|
FINISHED |
| Object | poet |
—
|
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: poet | Statement: [Mahakavi, KaviMeans, poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KaviMeans Context triple: [Mahakavi, KaviMeans, poet]
-
A.
CMeans
Indicates that one concept or entity conveys, expresses, or serves as the means by which another concept or entity is understood or represented.
-
B.
yonMeans
chosen
Indicates that one entity serves as the meaning, definition, or semantic content of another entity.
-
C.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
-
D.
clusterConcentration
Indicates how densely the elements within a cluster are packed or distributed relative to one another.
-
E.
Flowline
Indicates a directed path or channel along which something (such as fluid, energy, or information) moves or is transmitted from one point to another.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:39 p.m.