Triple
T9569198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columna Centenaria Divi Marci Aurelii |
E230870
|
entity |
| Predicate | numberOfReliefBands |
P43408
|
FINISHED |
| Object | approximately 21 |
—
|
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: approximately 21 | Statement: [Columna Centenaria Divi Marci Aurelii, numberOfReliefBands, approximately 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfReliefBands Context triple: [Columna Centenaria Divi Marci Aurelii, numberOfReliefBands, approximately 21]
-
A.
bandCount
chosen
Indicates the number of bands or distinct grouped units associated with a given entity.
-
B.
hasBandNumber
Indicates that an entity is associated with a specific band identification number.
-
C.
hasBandRange
Indicates that one entity has an associated range or span of bands (such as frequency or wavelength intervals) defined by the other entity.
-
D.
supportedBands
Indicates that one entity (typically a musician or band) performed as a supporting or opening act for another band.
-
E.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998940c881909f9025512cf72fe9 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.