Triple
T31203107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riyadh–Jubail freight line |
E795526
|
entity |
| Predicate | linkedCityDescription |
P58917
|
FINISHED |
| Object | Riyadh is the capital of Saudi Arabia |
—
|
NE NERFINISHED |
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: Riyadh is the capital of Saudi Arabia | Statement: [Riyadh–Jubail freight line, linkedCityDescription, Riyadh is the capital of Saudi Arabia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedCityDescription Context triple: [Riyadh–Jubail freight line, linkedCityDescription, Riyadh is the capital of Saudi Arabia]
-
A.
linkedCity
Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
-
B.
cityDescribedAs
chosen
Indicates that a city is characterized or portrayed using a particular description, label, or set of attributes.
-
C.
linkedCityRegion
Indicates that a city is associated with, belongs to, or is administratively connected to a specific region.
-
D.
cityRepresentation
Indicates that one entity serves as the official or primary representative (such as a government, organization, or office) for a particular city in some context.
-
E.
cityDepicted
Indicates that a work (such as an image, artwork, or document) visually or representationally depicts a particular city.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9:09 p.m.