Triple
T19474835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Apostles |
E487216
|
entity |
| Predicate | globalFame |
P124443
|
FINISHED |
| Object | internationally recognized coastal feature |
—
|
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: internationally recognized coastal feature | Statement: [Twelve Apostles, globalFame, internationally recognized coastal feature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalFame Context triple: [Twelve Apostles, globalFame, internationally recognized coastal feature]
-
A.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
B.
famePeak
Indicates the time or point at which an entity reaches its highest level of fame or public recognition.
-
C.
fameStatus
Indicates the level or state of public recognition or renown associated with an entity.
-
D.
globalHit
Indicates that an action, event, or entity has achieved widespread, worldwide recognition, impact, or success.
-
E.
fameExtent
chosen
Indicates the degree or scope of how widely recognized or renowned an entity is.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f126988190890ff8e5730e4ad3 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.