Triple
T24468684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boufarik Air Base |
E617042
|
entity |
| Predicate | distanceFromAlgiers |
P143803
|
FINISHED |
| Object | approximately 30 km southwest of Algiers |
—
|
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 30 km southwest of Algiers | Statement: [Boufarik Air Base, distanceFromAlgiers, approximately 30 km southwest of Algiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAlgiers Context triple: [Boufarik Air Base, distanceFromAlgiers, approximately 30 km southwest of Algiers]
-
A.
distanceToAlgiers
chosen
Indicates the measured spatial distance between a given entity and the location of Algiers.
-
B.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
C.
distanceToMisrata_km
Indicates the physical distance, measured in kilometers, between a given location and Misrata.
-
D.
distanceToOuarzazate
Indicates the measured or estimated spatial distance between a given entity and the location of Ouarzazate.
-
E.
distanceFromDakar
Indicates the spatial distance between a given entity’s location and the city of Dakar.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299413ea88190b15e482035ff5a83 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.