Triple
T14331370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arc de Triomphe of the East |
E355353
|
entity |
| Predicate | hasMinaretHeight |
P16755
|
FINISHED |
| Object | approximately 56 meters |
—
|
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 56 meters | Statement: [Arc de Triomphe of the East, hasMinaretHeight, approximately 56 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinaretHeight Context triple: [Arc de Triomphe of the East, hasMinaretHeight, approximately 56 meters]
-
A.
hasMinaretHeightApprox
chosen
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
B.
hasMinarets
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
-
C.
floorCountOfMinaret
Indicates the number of floors or levels that a minaret has.
-
D.
numberOfBalconiesOnMinarets
Indicates the count of balconies present on the minarets associated with a given subject.
-
E.
hasDomeAndMinarets
Indicates that something possesses both a dome and one or more minarets as architectural features.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.