Triple
T16347157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filippiada |
E396962
|
entity |
| Predicate | distanceFromIoannina |
P123061
|
FINISHED |
| Object | about 60 km |
—
|
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 60 km | Statement: [Filippiada, distanceFromIoannina, about 60 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromIoannina Context triple: [Filippiada, distanceFromIoannina, about 60 km]
-
A.
distanceFromKaterini_km
Indicates the distance, measured in kilometers, between a given place and Katerini.
-
B.
distanceFromThessaloniki
Indicates the spatial distance between a given entity and the city of Thessaloniki.
-
C.
distanceToNafplio
Indicates the spatial distance between a given entity’s location and the location of Nafplio.
-
D.
distanceFromAthens_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Athens.
-
E.
distanceToPatras
Indicates the spatial distance between a given entity or location and the city of Patras.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da1038d88190b8292cfe71bc4f2a |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.