Triple
T6252653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amud el-Sawari |
E140084
|
entity |
| Predicate | diameterAtTop |
P25057
|
FINISHED |
| Object | about 2.3 metres |
—
|
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 2.3 metres | Statement: [Amud el-Sawari, diameterAtTop, about 2.3 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diameterAtTop Context triple: [Amud el-Sawari, diameterAtTop, about 2.3 metres]
-
A.
shaftDiameterAtTop
chosen
Indicates the diameter measurement of a shaft specifically at its top end or uppermost section.
-
B.
shaftDiameterAtBase
Indicates the diameter measurement of a shaft specifically at its base portion.
-
C.
maximumTrunkDiameter
Indicates the largest thickness of a trunk measured across its widest point.
-
D.
trunkDiameter
Indicates the measured thickness of a trunk, typically expressed as the diameter across its cross-section.
-
E.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063417c8c8190945049881819d307 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.