Triple
T18013544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Bayda |
E430942
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Bayda |
—
|
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: Bayda | Statement: [Al-Bayda, alternativeName, Bayda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayda Context triple: [Al-Bayda, alternativeName, Bayda]
-
A.
Bayda
chosen
Bayda is a city in eastern Libya that has served as a significant political center, including as a meeting place for the Tobruk-based House of Representatives.
-
B.
Bayta
Bayta is a fictional character from Isaac Asimov’s Foundation series, best known for her pivotal role in thwarting the plans of the mutant conqueror known as the Mule.
-
C.
Bayat
Bayat is a small town and district in western Turkey’s Afyonkarahisar Province, known for its rural character and traditional Anatolian culture.
-
D.
Bayil
Bayil is a coastal district of Baku, Azerbaijan, located along the Caspian Sea and known for its proximity to major city landmarks.
-
E.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b521befc81908dff44f19aa3d580 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.