Triple
T20527065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segovia Aqueduct |
E503964
|
entity |
| Predicate | numberOfLevelsOfArches |
P6578
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Segovia Aqueduct, numberOfLevelsOfArches, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLevelsOfArches Context triple: [Segovia Aqueduct, numberOfLevelsOfArches, 2]
-
A.
hasNumberOfArches
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
B.
widthOfArches
Indicates the measurement of how wide the arches are in a given structure or context.
-
C.
numberOfLevels
chosen
Indicates the total count of hierarchical layers, stages, or floors associated with an entity.
-
D.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
E.
numberOfSeatingLevels
Indicates the total count of distinct seating levels or tiers associated with a venue, structure, or seating arrangement.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a066402081909dd53830eb637ad0 |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.