Triple
T5152457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senaki |
E116227
|
entity |
| Predicate | distanceFromPoti |
P62255
|
FINISHED |
| Object | approximately 35–40 km east of Poti |
—
|
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 35–40 km east of Poti | Statement: [Senaki, distanceFromPoti, approximately 35–40 km east of Poti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPoti Context triple: [Senaki, distanceFromPoti, approximately 35–40 km east of Poti]
-
A.
distanceFromReading
Indicates the measured spatial distance between a specified entity and the location of Reading.
-
B.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
distanceFromOrange
Indicates the spatial distance between a given entity and an orange as the reference point.
-
E.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79bf9b088190a556dc02f10204e4 |
completed | March 20, 2026, 4:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.