Triple
T33486602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayrum |
E857627
|
entity |
| Predicate | distanceToTbilisi |
P41077
|
FINISHED |
| Object | approximately 70 kilometres |
—
|
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 70 kilometres | Statement: [Ayrum, distanceToTbilisi, approximately 70 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTbilisi Context triple: [Ayrum, distanceToTbilisi, approximately 70 kilometres]
-
A.
distanceFrom Tbilisi
chosen
Indicates the spatial distance between a given location or entity and the city of Tbilisi.
-
B.
distanceToKutaisi_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Kutaisi.
-
C.
distanceFromKutaisi
Indicates the spatial distance measured from the location of Kutaisi to another specified place or entity.
-
D.
distanceFromAkhaltsikhe_km
Indicates the distance, measured in kilometers, between an entity and the location of Akhaltsikhe.
-
E.
distanceFromBatumi
Indicates the measured spatial distance between a given location or entity and the city of Batumi.
- F. None of above.
Provenance (3 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:38 a.m.