Triple
T4953997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion Hunt mosaic |
E111236
|
entity |
| Predicate | foundInBuildingType |
P1844
|
FINISHED |
| Object | private house |
—
|
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: private house | Statement: [Lion Hunt mosaic, foundInBuildingType, private house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundInBuildingType Context triple: [Lion Hunt mosaic, foundInBuildingType, private house]
-
A.
tookPlaceInBuilding
Indicates that an event or action occurred within the physical premises of a specific building.
-
B.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
D.
containsBuildingType
Indicates that a location or area includes at least one building of the specified type.
-
E.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b945c0819082723712905f8295 |
completed | March 20, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.