Triple
T3368772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Mosque of Kuwait |
E70901
|
entity |
| Predicate | mainDomeHeight |
P6531
|
FINISHED |
| Object | 43 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: 43 meters | Statement: [Grand Mosque of Kuwait, mainDomeHeight, 43 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDomeHeight Context triple: [Grand Mosque of Kuwait, mainDomeHeight, 43 meters]
-
A.
heightOfDome
chosen
Indicates the measured vertical extent or elevation of a dome structure from its base to its highest point.
-
B.
diameterOfDome
Indicates the measurement of the dome’s diameter as a geometric property of that dome.
-
C.
hasMainDome
Indicates that an entity possesses a primary or central dome as a defining architectural feature.
-
D.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
E.
lengthOfMainBuilding
Indicates the measured physical length of the main building in the context of a larger structure 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28a813c81909d1c71fe577e6681 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.