Triple
T20235667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biblis Tholus |
E498141
|
entity |
| Predicate | edificeShape |
P139341
|
FINISHED |
| Object | low-relief shield |
—
|
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: low-relief shield | Statement: [Biblis Tholus, edificeShape, low-relief shield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edificeShape Context triple: [Biblis Tholus, edificeShape, low-relief shield]
-
A.
buildingShape
Indicates the geometric form or outline that characterizes a building’s overall structure.
-
B.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
C.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
D.
eraOfManyBuildings
Indicates a time period during which many buildings were constructed or existed.
-
E.
fortressShape
Indicates that one entity has the physical form, outline, or structural configuration characteristic of a fortress.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716995b88190a8514b41232b0e94 |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:40 p.m.