Triple
T2381462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louvre Abu Dhabi |
E46319
|
entity |
| Predicate | domeWeight |
P38383
|
FINISHED |
| Object | approximately 7,500 tons |
—
|
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 7,500 tons | Statement: [Louvre Abu Dhabi, domeWeight, approximately 7,500 tons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domeWeight Context triple: [Louvre Abu Dhabi, domeWeight, approximately 7,500 tons]
-
A.
heightOfDome
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.
domeShape
Indicates that one entity has a dome-like or hemispherical shape in relation to another or in its overall form.
-
D.
domeColor
Indicates the color attribute associated specifically with a dome.
-
E.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b7c9188190a824e4b469bc1548 |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:57 p.m.