Triple
T9107107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiddiya |
E218504
|
entity |
| Predicate | distanceFromRiyadh |
P86517
|
FINISHED |
| Object | approximately 40 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: approximately 40 km | Statement: [Qiddiya, distanceFromRiyadh, approximately 40 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromRiyadh Context triple: [Qiddiya, distanceFromRiyadh, approximately 40 km]
-
A.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
-
B.
distanceToAlKhums_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Al Khums.
-
C.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
D.
distanceFromMedinaCenterApprox
Indicates an approximate measure of how far something is located from the center of Medina.
-
E.
distanceFromKaaba
Indicates the spatial distance between an entity’s location and the Kaaba.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:16 p.m.