Triple
T24572493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Maggiore |
E607998
|
entity |
| Predicate | aqueductCarried |
P14199
|
FINISHED |
| Object | water from the Anio valley |
—
|
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: water from the Anio valley | Statement: [Porta Maggiore, aqueductCarried, water from the Anio valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aqueductCarried Context triple: [Porta Maggiore, aqueductCarried, water from the Anio valley]
-
A.
hasAqueduct
Indicates that one entity possesses, contains, or is equipped with an aqueduct that serves or passes through it.
-
B.
oneOfEarliestMajorAqueductsOf
Indicates that the subject is among the earliest major aqueducts associated with the object.
-
C.
numberOfAqueducts
Indicates the quantity of aqueducts associated with or present in a given entity or context.
-
D.
lengthOfMainAqueduct
Indicates the measured length of the primary aqueduct in a water conveyance system.
-
E.
transportsWaterTo
chosen
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9269360819090c44f4483c3533c |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:28 a.m.