Triple
T12760195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera mountain region |
E304971
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Tabuk |
E1015530
|
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: Tabuk | Statement: [Cordillera mountain region, hasCity, Tabuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabuk Context triple: [Cordillera mountain region, hasCity, Tabuk]
-
A.
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.
-
B.
Tabuk
chosen
Tabuk is a city in the Cordillera Administrative Region of the Philippines that serves as the political and economic center of Kalinga province.
-
C.
Tabuk Region
Tabuk Region is an administrative area in northwestern Saudi Arabia known for its strategic location near the borders with Jordan and the Red Sea, as well as its growing role in tourism and development projects.
-
D.
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.
-
E.
Dhahran
Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5eba3b0819089da65be31f3d0e6 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:28 p.m.