Triple
T23635248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Bridge of Córdoba |
E583724
|
entity |
| Predicate | originalNumberOfSpans |
P620
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Roman Bridge of Córdoba, originalNumberOfSpans, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNumberOfSpans Context triple: [Roman Bridge of Córdoba, originalNumberOfSpans, 17]
-
A.
numberOfSpans
chosen
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
B.
numberOfSideSpans
Indicates the count of side spans associated with a primary span or structure.
-
C.
navigationSpanLength
Indicates the distance or extent covered by a navigation segment or span within a route or path.
-
D.
settingSpans
Indicates that a particular setting or configuration applies across, or is valid for, a specified span or range (such as a time interval, text range, or other continuous segment).
-
E.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1ec38f48190832d919391971ddb |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.