Triple
T24824557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PETRA III |
E621152
|
entity |
| Predicate | hasCircumference |
P5331
|
FINISHED |
| Object | about 2304 m |
—
|
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: about 2304 m | Statement: [PETRA III, hasCircumference, about 2304 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCircumference Context triple: [PETRA III, hasCircumference, about 2304 m]
-
A.
circumference
chosen
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
-
B.
isCircumferential
Indicates that something extends or is positioned all the way around the boundary or perimeter of another object or area.
-
C.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
-
D.
circaLength
Indicates that one entity has an approximate or estimated length relative to a specified value or measure.
-
E.
hasRoundWindowDiameter
Indicates that an entity possesses a round window whose size is specified by its diameter.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:05 a.m.