Triple
T20886727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishoftu Air Base |
E514300
|
entity |
| Predicate | distanceFromAddisAbaba_km |
P132803
|
FINISHED |
| Object | approximately 40 |
—
|
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 40 | Statement: [Bishoftu Air Base, distanceFromAddisAbaba_km, approximately 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAddisAbaba_km Context triple: [Bishoftu Air Base, distanceFromAddisAbaba_km, approximately 40]
-
A.
distanceFromAddisAbaba
chosen
Indicates the physical distance between a given location and Addis Ababa.
-
B.
distanceFromBahirDar
Indicates the spatial distance separating a given entity or location from Bahir Dar.
-
C.
distanceFromAsmara
Indicates the spatial distance between a given location and the city of Asmara.
-
D.
distanceToMekelle
Indicates the spatial distance between an entity and the city of Mekelle.
-
E.
distanceFromAkhaltsikhe_km
Indicates the distance, measured in kilometers, between an entity and the location of Akhaltsikhe.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d058d4dc81908398f8c75e30dc77 |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.