Triple
T29007017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debark |
E736463
|
entity |
| Predicate | distanceToGondar_km |
P202166
|
FINISHED |
| Object | approximately 100 |
—
|
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 100 | Statement: [Debark, distanceToGondar_km, approximately 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGondar_km Context triple: [Debark, distanceToGondar_km, approximately 100]
-
A.
distanceFromBahirDar
Indicates the spatial distance separating a given entity or location from Bahir Dar.
-
B.
distanceFromAsmara
Indicates the spatial distance between a given location and the city of Asmara.
-
C.
distanceFromAddisAbaba
Indicates the physical distance between a given location and Addis Ababa.
-
D.
distanceToMekelle
Indicates the spatial distance between an entity and the city of Mekelle.
-
E.
roadDistanceToAsmara
Indicates the distance between an entity and Asmara when traveling via the road network rather than in a straight line.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a005be4615c8190a710ab704a46c564 |
completed | May 10, 2026, 10:20 a.m. |
| PD | Predicate disambiguation | batch_6a005b8b1cc08190850a392761b84e74 |
completed | May 10, 2026, 10:18 a.m. |
| PDg | Predicate description generation | batch_6a005be3afb481908a2a4646e41e1004 |
completed | May 10, 2026, 10:20 a.m. |
Created at: April 28, 2026, 9:39 a.m.