Triple
T28475658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naples funicular (Mergellina–Posillipo area) |
E720553
|
entity |
| Predicate | lowerTerminusArea |
P57205
|
FINISHED |
| Object | coastal Mergellina district |
—
|
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: coastal Mergellina district | Statement: [Naples funicular (Mergellina–Posillipo area), lowerTerminusArea, coastal Mergellina district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerTerminusArea Context triple: [Naples funicular (Mergellina–Posillipo area), lowerTerminusArea, coastal Mergellina district]
-
A.
lowerTerminus
chosen
Indicates that one entity serves as the lower endpoint or downstream terminus of another entity, such as a route, segment, or connection.
-
B.
lowerBoundaryLocation
Indicates the place or region where the lower or bottom boundary of something is situated.
-
C.
lowFloorAreas
Indicates that the subject has floor areas whose sizes are below a specified or typical threshold.
-
D.
lowerTierHeight
Indicates the vertical measurement or elevation of the lower tier in a multi-level structure relative to a reference level.
-
E.
lowDensityAreaUsedFor
Indicates that a low-density area is utilized for a particular purpose or function.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 2:52 a.m.