Triple
T38403213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arch of Trajan (Mérida) |
E900954
|
entity |
| Predicate | spanWidth |
P619
|
FINISHED |
| Object | approximately 5.7 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: approximately 5.7 metres | Statement: [Arch of Trajan (Mérida), spanWidth, approximately 5.7 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spanWidth Context triple: [Arch of Trajan (Mérida), spanWidth, approximately 5.7 metres]
-
A.
sideSpanLength
Indicates the length measurement of a side span in a multi-span structure relative to its other spans.
-
B.
slotWidth
Indicates the width measurement of a slot or opening in a given context.
-
C.
width
chosen
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
D.
widthInColumns
Indicates the number of column units that an element or item spans within a grid or layout.
-
E.
availableWidth
Indicates the amount of horizontal space that is currently free or usable within a given context or container.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.