Triple
T1317152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cave of Hira |
E28129
|
entity |
| Predicate | countryCapitalProximity |
P10889
|
FINISHED |
| Object | relatively far from Riyadh |
—
|
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: relatively far from Riyadh | Statement: [Cave of Hira, countryCapitalProximity, relatively far from Riyadh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalProximity Context triple: [Cave of Hira, countryCapitalProximity, relatively far from Riyadh]
-
A.
distanceFromCapital
chosen
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
B.
countryClosestTo
Indicates the relationship where one country is geographically nearer to a given reference point or entity than any other country.
-
C.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
D.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
-
E.
countryCapitalRole
Indicates that one entity serves as the capital city of a given country, representing its primary administrative or governmental center.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.