Triple
T21394437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherchell |
E527741
|
entity |
| Predicate | distanceToAlgiers |
P143803
|
FINISHED |
| Object | about 90 km west |
—
|
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 90 km west | Statement: [Cherchell, distanceToAlgiers, about 90 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAlgiers Context triple: [Cherchell, distanceToAlgiers, about 90 km west]
-
A.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
B.
distanceToOuarzazate
Indicates the measured or estimated spatial distance between a given entity and the location of Ouarzazate.
-
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.
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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cd30f08190aba90afed6116a2a |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:13 p.m.