Triple
T26217704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouira |
E655674
|
entity |
| Predicate | roadDistanceToTiziOuzou_km |
P160056
|
FINISHED |
| Object | about 70 |
—
|
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 70 | Statement: [Bouira, roadDistanceToTiziOuzou_km, about 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToTiziOuzou_km Context triple: [Bouira, roadDistanceToTiziOuzou_km, about 70]
-
A.
distanceToOuarzazate
Indicates the measured or estimated spatial distance between a given entity and the location of Ouarzazate.
-
B.
distanceToAlgiers
Indicates the measured spatial distance between a given entity and the location of Algiers.
-
C.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
D.
distanceToSousse
Indicates the spatial distance between an entity and the location of Sousse.
-
E.
distanceToBizerte
Indicates the measured distance between a given entity’s location and the city of Bizerte.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d1cd19081909f7575479d6b91ca |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 8:55 p.m.