Triple
T30903786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soba ruins |
E787238
|
entity |
| Predicate | distanceFromKhartoum |
P203379
|
FINISHED |
| Object | approximately 20–25 km southeast |
—
|
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 20–25 km southeast | Statement: [Soba ruins, distanceFromKhartoum, approximately 20–25 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKhartoum Context triple: [Soba ruins, distanceFromKhartoum, approximately 20–25 km southeast]
-
A.
distanceToJuba_km
Indicates the physical distance, measured in kilometers, between a given location and Juba.
-
B.
distanceFromN'Djamena_km
Indicates the distance, measured in kilometers, between an entity and N'Djamena.
-
C.
distanceFromJuba_km
Indicates the physical distance, measured in kilometers, between a given location and Juba.
-
D.
timeToReachNearKhartoum
Indicates the amount of time required for an entity to arrive at or near the location of Khartoum.
-
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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a017114e7148190b7479284c316443d |
completed | May 11, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_6a016eebd60481909212e2a49ef95fbe |
completed | May 11, 2026, 5:53 a.m. |
| PDg | Predicate description generation | batch_6a0171143bd081909b68cca366b4dfb0 |
completed | May 11, 2026, 6:03 a.m. |
Created at: April 29, 2026, 8:50 p.m.