Triple
T29438983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appian Aqueduct |
E746658
|
entity |
| Predicate | isEarliestMajorAqueductOf |
P113740
|
FINISHED |
| Object | Rome |
—
|
NE NERFINISHED |
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: Rome | Statement: [Appian Aqueduct, isEarliestMajorAqueductOf, Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEarliestMajorAqueductOf Context triple: [Appian Aqueduct, isEarliestMajorAqueductOf, Rome]
-
A.
oneOfEarliestMajorAqueductsOf
chosen
Indicates that the subject is among the earliest major aqueducts associated with the object.
-
B.
numberOfAqueducts
Indicates the quantity of aqueducts associated with or present in a given entity or context.
-
C.
hasAqueduct
Indicates that one entity possesses, contains, or is equipped with an aqueduct that serves or passes through it.
-
D.
lengthOfMainAqueduct
Indicates the measured length of the primary aqueduct in a water conveyance system.
-
E.
earliestMajorConstruction
Indicates the earliest significant construction event associated with an entity, such as the first major building or development work completed for it.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1b4be08190b2ccb9612c9bcb4e |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:19 p.m.