Triple
T23413379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulpiana |
E560138
|
entity |
| Predicate | distanceFromPristina |
P152163
|
FINISHED |
| Object | approximately 10 km southeast |
—
|
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 10 km southeast | Statement: [Ulpiana, distanceFromPristina, approximately 10 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPristina Context triple: [Ulpiana, distanceFromPristina, approximately 10 km southeast]
-
A.
distanceToTirana_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Tirana.
-
B.
distanceToKorçë
Indicates the spatial distance between an entity and the location of Korçë.
-
C.
distanceToSkopje_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Skopje.
-
D.
distanceToSarandë
Indicates the spatial distance between a given entity and the location of Sarandë.
-
E.
distanceToBelgrade
Indicates the spatial distance between a given entity and the city of Belgrade.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a513502881909f33a43bfd5e63a7 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:39 p.m.