Triple
T13325828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont del Diable aqueduct |
E317438
|
entity |
| Predicate | numberOfArchesUpperTier |
P9131
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Pont del Diable aqueduct, numberOfArchesUpperTier, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArchesUpperTier Context triple: [Pont del Diable aqueduct, numberOfArchesUpperTier, 25]
-
A.
hasNumberOfArches
chosen
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
B.
upperTierHeight
Indicates the vertical measurement or elevation of an upper tier relative to a reference level or structure.
-
C.
widthOfArches
Indicates the measurement of how wide the arches are in a given structure or context.
-
D.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
E.
hasUpperTier
Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.