Triple
T9573081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turnor |
E230973
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Turnour |
E230973
|
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: Turnour | Statement: [Turnor, hasSpellingVariant, Turnour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turnour Context triple: [Turnor, hasSpellingVariant, Turnour]
-
A.
Turnor
chosen
Turnor is a surname variant of "Turner," historically associated with the occupational name for someone who worked with a lathe or turned wood or metal.
-
B.
Testour
Testour is a historic town in northern Tunisia known for its Andalusian architectural heritage and cultural traditions.
-
C.
Btourram
Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
-
D.
Tour Totem
Tour Totem is a modern high-rise residential and office building located in Paris’s Grenelle district near the Seine.
-
E.
Main Tour
Main Tour was the former primary professional snooker circuit that preceded and was later superseded by the World Snooker Tour.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998d79cc8190b94e5953915a5fa4 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152bf5c548190b6c33cc49e418ef7 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.