Triple
T20402198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazonas Region |
E500361
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Jazan |
E789213
|
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: Jazan | Statement: [Amazonas Region, hasCity, Jazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jazan Context triple: [Amazonas Region, hasCity, Jazan]
-
A.
Jizan
chosen
Jizan is a coastal region in southwestern Saudi Arabia along the Red Sea, known for its agricultural productivity, tropical climate, and proximity to the Yemeni border.
-
B.
Al Bahah
Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
-
C.
Ghawwas
Ghawwas is a notable poet associated with the Dakhni (Deccani) literary tradition of South Asia.
-
D.
Tabuk
Tabuk is a city in the Cordillera Administrative Region of the Philippines that serves as the political and economic center of Kalinga province.
-
E.
Tabuk
Tabuk is a city in northwestern Saudi Arabia known as the capital of the Tabuk Region and a growing hub for trade and development projects.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798fc3b88190a372c34102bfaa6f |
completed | April 20, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08762bd7e881909ceddb1b3c26a914 |
completed | May 16, 2026, 1:50 p.m. |
Created at: April 16, 2026, 11:29 a.m.