Triple
T35259985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandataria |
E1018342
|
entity |
| Predicate | distanceFromItalianMainland |
P5691
|
FINISHED |
| Object | about 46 km off the coast of Lazio |
—
|
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 46 km off the coast of Lazio | Statement: [Pandataria, distanceFromItalianMainland, about 46 km off the coast of Lazio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromItalianMainland Context triple: [Pandataria, distanceFromItalianMainland, about 46 km off the coast of Lazio]
-
A.
distanceFromSicily
Indicates the spatial distance between a given entity and the region of Sicily.
-
B.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
distanceToVenice_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Venice.
-
D.
distanceToGenoa_km
Indicates the physical distance, measured in kilometers, between a given place or object and the city of Genoa.
-
E.
distanceFromMilan
Indicates the spatial distance between a given entity and the city of Milan.
- 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.