Triple
T9107136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiddiya |
E218504
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Qiddiya City |
E218504
|
NE 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: Qiddiya City | Statement: [Qiddiya, alternativeName, Qiddiya City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qiddiya City Context triple: [Qiddiya, alternativeName, Qiddiya City]
-
A.
Qiddiya
chosen
Qiddiya is a massive entertainment, sports, and cultural megaproject near Riyadh, designed to become a flagship leisure destination and economic diversification hub for Saudi Arabia.
-
B.
Almaqah
Almaqah is the principal moon god of the ancient Sabaean civilization in South Arabia, associated with kingship, fertility, and monumental temple complexes.
-
C.
Riyadh Al Khabra
Riyadh Al Khabra is a town in central Saudi Arabia known for its agricultural activity and traditional markets within the Qassim Region.
-
D.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
E.
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01842c12c81909fdb57b60e2f11f1 |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:16 p.m.