Triple
T4379604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giannitsa |
E99095
|
entity |
| Predicate | distanceToThessaloniki |
P56485
|
FINISHED |
| Object | approximately 50 km west |
—
|
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 50 km west | Statement: [Giannitsa, distanceToThessaloniki, approximately 50 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToThessaloniki Context triple: [Giannitsa, distanceToThessaloniki, approximately 50 km west]
-
A.
distanceFromHeraklion
Indicates the spatial distance between a given location and the city of Heraklion.
-
B.
distanceFromMiletus
Indicates the spatial distance between a given place or object and the location of Miletus.
-
C.
distanceToBucharest
Indicates the physical distance between a given location and the city of Bucharest.
-
D.
distanceToRhodesCity
Indicates the spatial distance between a given location and Rhodes City.
-
E.
distanceToBlackSea
Indicates the measured spatial distance between a given entity and the Black Sea.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3524154dc81908532cdf997dcb802 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:18 p.m.