Triple
T14485364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | मोती मस्जिद |
E359214
|
entity |
| Predicate | महाद्वीप |
P233
|
FINISHED |
| Object | एशिया |
—
|
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: एशिया | Statement: [मोती मस्जिद, महाद्वीप, एशिया]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: महाद्वीप Context triple: [मोती मस्जिद, महाद्वीप, एशिया]
-
A.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
B.
continent
chosen
Indicates that one entity is a continent on which the other entity is geographically located or to which it belongs.
-
C.
continentB
Indicates that the subject entity is a continent that contains or is associated with the object entity (such as a country, region, or location).
-
D.
majorLandmasses
Indicates that the related entities are the primary, large continuous expanses of land on a planetary surface.
-
E.
isLargestContiguousLandmass
Indicates that one landmass is the largest single, unbroken continuous area of land compared to all other landmasses in the relevant 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.