Triple
T24708940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baths of Neptune |
E611974
|
entity |
| Predicate | hasFloorMosaic |
P44624
|
FINISHED |
| Object | black-and-white mosaic of Neptune |
—
|
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: black-and-white mosaic of Neptune | Statement: [Baths of Neptune, hasFloorMosaic, black-and-white mosaic of Neptune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloorMosaic Context triple: [Baths of Neptune, hasFloorMosaic, black-and-white mosaic of Neptune]
-
A.
hasMosaic
chosen
Indicates that one entity possesses, contains, or is decorated with a mosaic.
-
B.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
C.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
D.
hasFloorColor
Indicates that an entity possesses a floor whose surface is characterized by a specific color.
-
E.
hasFloorFeature
Indicates that a floor possesses or includes a specific feature or characteristic.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.