Triple
T26217685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouira |
E655674
|
entity |
| Predicate | distanceToAlgiers_km |
P143803
|
FINISHED |
| Object | about 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: about 100 | Statement: [Bouira, distanceToAlgiers_km, about 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAlgiers_km Context triple: [Bouira, distanceToAlgiers_km, about 100]
-
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.
distanceToTripoli_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Tripoli.
-
E.
distanceToOuarzazate
Indicates the measured or estimated spatial distance between a given entity and the location of Ouarzazate.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 26, 2026, 8:55 p.m.