Triple
T16520918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decumani of Naples |
E401314
|
entity |
| Predicate | streetCount |
P96133
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Decumani of Naples, streetCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetCount Context triple: [Decumani of Naples, streetCount, 3]
-
A.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
B.
hasNumberOfStreets
chosen
Indicates the relationship that specifies how many streets are associated with or contained within a given entity.
-
C.
numberOfConvergingStreets
Indicates the count of distinct streets that meet or intersect at a particular junction or location.
-
D.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
E.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e804e388190b684bde2c82ab770 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.