Triple
T27655649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotta di Nettuno |
E696982
|
entity |
| Predicate | cliffHeightAboveEntrance |
P18448
|
FINISHED |
| Object | about 110 m |
—
|
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: about 110 m | Statement: [Grotta di Nettuno, cliffHeightAboveEntrance, about 110 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cliffHeightAboveEntrance Context triple: [Grotta di Nettuno, cliffHeightAboveEntrance, about 110 m]
-
A.
entranceHeight
Indicates the vertical measurement of how tall an entrance is.
-
B.
hasCliffHeight
chosen
Indicates the relationship between a cliff and the measurement of its vertical height.
-
C.
distanceToTheEntrance
Indicates the spatial distance between a given entity and the entrance of a specified place or structure.
-
D.
hasEntranceElevation
Indicates the elevation at which an entity’s entrance is located, typically measured relative to a reference level such as sea level or ground level.
-
E.
hasCliffHeightCategory
Indicates the categorized height range of a cliff associated with an entity.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f631d8bb9881908a1b01a501d96cfc |
completed | May 2, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:34 p.m.