Triple
T9269756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Abdullah Economic City |
E222794
|
entity |
| Predicate | distanceFromMakkah |
P26936
|
FINISHED |
| Object | approximately 180 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 180 km | Statement: [King Abdullah Economic City, distanceFromMakkah, approximately 180 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMakkah Context triple: [King Abdullah Economic City, distanceFromMakkah, approximately 180 km]
-
A.
distanceFromMecca
chosen
Indicates the measured spatial distance between a given location and the city of Mecca.
-
B.
distanceFromKaaba
Indicates the spatial distance between an entity’s location and the Kaaba.
-
C.
distanceFromMeccaApprox
Indicates an approximate measure of how far something is located from Mecca.
-
D.
travelTimeMeccaMedina
Indicates the duration or time required to travel between Mecca and Medina.
-
E.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078525308190abfb883123742d3f |
completed | April 1, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.