Triple
T23901781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciampino railway station |
E601064
|
entity |
| Predicate | distanceFromRomeTermini |
P46029
|
FINISHED |
| Object | about 12 km |
—
|
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 12 km | Statement: [Ciampino railway station, distanceFromRomeTermini, about 12 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromRomeTermini Context triple: [Ciampino railway station, distanceFromRomeTermini, about 12 km]
-
A.
distanceFromRome
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Rome.
-
B.
distanceToRome
Indicates the spatial distance between a given entity and the location of Rome.
-
C.
distanceFromTurin
Indicates the spatial distance separating an entity from the location of Turin.
-
D.
distanceFromMilan
Indicates the spatial distance between a given entity and the city of Milan.
-
E.
distanceFromTerniInKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Terni.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdde91d081908df44442a20e0fd2 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:26 p.m.