Triple
T19356466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midelt |
E484159
|
entity |
| Predicate | distanceToMajorCityApprox |
P60767
|
FINISHED |
| Object | about 190 km from Meknes |
—
|
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 190 km from Meknes | Statement: [Midelt, distanceToMajorCityApprox, about 190 km from Meknes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMajorCityApprox Context triple: [Midelt, distanceToMajorCityApprox, about 190 km from Meknes]
-
A.
distanceFromMajorCity
chosen
Indicates the measured distance between a given location and a specified major city.
-
B.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
C.
distanceFromMajorPopulationCenters
Indicates the physical distance between a location and the nearest major population centers.
-
D.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
E.
distanceFromRegionalCapital
Indicates the measured spatial distance between a given place and its corresponding regional capital.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619096c1081909ce2cbf7ae804e73 |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.