Triple
T11040966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adigrat |
E261013
|
entity |
| Predicate | distanceToMekelle |
P97443
|
FINISHED |
| Object | about 120 kilometres north |
—
|
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: about 120 kilometres north | Statement: [Adigrat, distanceToMekelle, about 120 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMekelle Context triple: [Adigrat, distanceToMekelle, about 120 kilometres north]
-
A.
distanceFromBahirDar
Indicates the spatial distance separating a given entity or location from Bahir Dar.
-
B.
distanceFromMogadishu_km
Indicates the distance, measured in kilometers, between a given location and Mogadishu.
-
C.
timeToReachNearKhartoum
Indicates the amount of time required for an entity to arrive at or near the location of Khartoum.
-
D.
distanceFromMogadishu
Indicates the spatial distance between a given location and Mogadishu.
-
E.
distanceToCairo_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Cairo.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7980050948190ae7b187da5b776ca |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.