Triple
T17457582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auranitis |
E425069
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Bostra |
—
|
NE NERFINISHED |
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: Bostra | Statement: [Auranitis, hasCenter, Bostra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bostra Context triple: [Auranitis, hasCenter, Bostra]
-
A.
Bostra
chosen
Bostra is the ancient Roman-era name for the city of Bosra, a historically significant urban center in southern Syria known for its well-preserved ruins and role as a provincial capital.
-
B.
Tavullia
Tavullia is a small Italian town in the Marche region, best known as the hometown of MotoGP legend Valentino Rossi.
-
C.
Gharsana
Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
-
D.
Gândaras
Gândaras is a civil parish located in the municipality of Lousã in central Portugal.
-
E.
Menetes
Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.