Triple
T20084847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsciano |
E500098
|
entity |
| Predicate | distanceFromPerugia |
P138657
|
FINISHED |
| Object | about 25 km south |
—
|
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 25 km south | Statement: [Marsciano, distanceFromPerugia, about 25 km south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPerugia Context triple: [Marsciano, distanceFromPerugia, about 25 km south]
-
A.
distanceFromPavia
Indicates the spatial distance between a given entity or location and the city of Pavia.
-
B.
distanceFromRome
Indicates the measured spatial distance between a given entity’s location and the city of Rome.
-
C.
distanceToPadua
Indicates the measured distance between a given entity’s location and the city of Padua.
-
D.
distanceToBergamo
Indicates the spatial distance between a given entity and the location of Bergamo.
-
E.
distanceFromTurin
Indicates the spatial distance separating an entity from the location of Turin.
- F. None of above. chosen
Provenance (4 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655a2d2c81908a6b8fd2f209a825 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:41 p.m.