Triple
T23636192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farafra Depression |
E583754
|
entity |
| Predicate | locatedInDirectionFromCairo |
P39010
|
FINISHED |
| Object | southwest of Cairo |
—
|
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: southwest of Cairo | Statement: [Farafra Depression, locatedInDirectionFromCairo, southwest of Cairo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInDirectionFromCairo Context triple: [Farafra Depression, locatedInDirectionFromCairo, southwest of Cairo]
-
A.
directionFromCairo
chosen
Indicates the cardinal or relative compass direction of an entity’s location measured from Cairo.
-
B.
locatedInDirectionWithinEgypt
Indicates that one place is situated in a specified cardinal or relative direction from another place, with both locations being within the borders of Egypt.
-
C.
distanceFromCairo
Indicates the measured spatial distance between a given entity’s location and the city of Cairo.
-
D.
distanceToCairo_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Cairo.
-
E.
directionRelativeToLowerEgypt
Indicates the spatial direction of something when referenced relative to the geographic position of Lower Egypt.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1ec38f48190832d919391971ddb |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.