Triple
T10202856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharurah |
E238923
|
entity |
| Predicate | distanceToNajranCityApproxKm |
P92691
|
FINISHED |
| Object | about 300 km |
—
|
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 300 km | Statement: [Sharurah, distanceToNajranCityApproxKm, about 300 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNajranCityApproxKm Context triple: [Sharurah, distanceToNajranCityApproxKm, about 300 km]
-
A.
distanceFromRiyadh
Indicates the measured spatial distance between a given entity’s location and the city of Riyadh.
-
B.
distanceFromMedinaCenterApprox
Indicates an approximate measure of how far something is located from the center of Medina.
-
C.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
D.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
-
E.
distanceToPetra
Indicates the spatial distance between a given entity or location and Petra.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee4239c08190b40f5cc19c3db3c7 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:14 p.m.