Triple
T13449627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peshkopi |
E320573
|
entity |
| Predicate | distanceToTirana |
P57951
|
FINISHED |
| Object | approximately 187 km by road |
—
|
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: approximately 187 km by road | Statement: [Peshkopi, distanceToTirana, approximately 187 km by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTirana Context triple: [Peshkopi, distanceToTirana, approximately 187 km by road]
-
A.
distanceToTirana_km
chosen
Indicates the physical distance, measured in kilometers, between a given place and the city of Tirana.
-
B.
distanceToSarandë
Indicates the spatial distance between a given entity and the location of Sarandë.
-
C.
distanceToBelgrade
Indicates the spatial distance between a given entity and the city of Belgrade.
-
D.
distanceToSubotica
Indicates the measured distance between a given entity’s location and the city of Subotica.
-
E.
distanceFrom Tbilisi
Indicates the spatial distance between a given location or entity and the city of Tbilisi.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.