Triple
T12137330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajsamand Lake |
E289092
|
entity |
| Predicate | hasEmbankmentMaterial |
P103573
|
FINISHED |
| Object | marble |
—
|
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: marble | Statement: [Rajsamand Lake, hasEmbankmentMaterial, marble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmbankmentMaterial Context triple: [Rajsamand Lake, hasEmbankmentMaterial, marble]
-
A.
hasEmbankment
Indicates that one entity possesses or is characterized by an embankment, such as a raised structure built to contain, support, or protect against water or terrain.
-
B.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
C.
usesMaterialForMounds
Indicates that an entity constructs or forms mounds using a specified material.
-
D.
hasSidewalkMaterial
Indicates that a sidewalk is composed of, or constructed using, a specified material.
-
E.
cliffMaterial
Indicates that a cliff is composed of or primarily made from a specified material.
- F. None of above. chosen
Provenance (4 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.