Triple
T14485340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | मोती मस्जिद |
E359214
|
entity |
| Predicate | निर्माण सामग्री |
P112810
|
FINISHED |
| Object | सफेद संगमरमर |
—
|
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: सफेद संगमरमर | Statement: [मोती मस्जिद, निर्माण सामग्री, सफेद संगमरमर]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: निर्माण सामग्री Context triple: [मोती मस्जिद, निर्माण सामग्री, सफेद संगमरमर]
-
A.
مادة البناء
chosen
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
-
D.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
E.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
- 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.