Triple
T10217516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaqra Governorate |
E242483
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shaqra |
E205234
|
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: Shaqra | Statement: [Shaqra Governorate, contains, Shaqra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaqra Context triple: [Shaqra Governorate, contains, Shaqra]
-
A.
Shaqra
chosen
Shaqra is a town in central Saudi Arabia known for its traditional architecture and role as a regional cultural and administrative center.
-
B.
Gommatsara
Gommatsara is a foundational Jain philosophical text, especially central to the Digambara tradition, that systematically expounds the nature of the soul, karma, and the path to liberation.
-
C.
Banna
Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
-
D.
Sidama
Sidama is an ethnic group primarily inhabiting the Sidama Region of southern Ethiopia, known for its distinct Cushitic language and coffee-growing culture.
-
E.
Kambaata
Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6ffefb881908296481343fb7ad3 |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 11:07 a.m.