Triple
T32397152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potami beach |
E827841
|
entity |
| Predicate | approxDistanceFromKarlovasi |
P197636
|
FINISHED |
| Object | a few kilometers west of Karlovasi |
—
|
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: a few kilometers west of Karlovasi | Statement: [Potami beach, approxDistanceFromKarlovasi, a few kilometers west of Karlovasi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxDistanceFromKarlovasi Context triple: [Potami beach, approxDistanceFromKarlovasi, a few kilometers west of Karlovasi]
-
A.
distanceFromVanadzor
Indicates the measured distance between a given place or object and the location of Vanadzor.
-
B.
distanceFromLjubljana
Indicates the spatial distance between an entity and the city of Ljubljana.
-
C.
distanceToKruševac
Indicates the spatial distance between a given entity and the location of Kruševac.
-
D.
distanceToBega_km
Indicates the physical distance, measured in kilometers, between a given location and Bega.
-
E.
distanceToKotor
Indicates the measured distance between a given entity’s location and the location of Kotor.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_69fe9fb88db08190a8f4af350633330e |
completed | May 9, 2026, 2:45 a.m. |
Created at: May 1, 2026, 12:52 a.m.