Triple
T4633135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabeul Governorate |
E101463
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Menzel Temime |
E417302
|
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: Menzel Temime | Statement: [Nabeul Governorate, hasCity, Menzel Temime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menzel Temime Context triple: [Nabeul Governorate, hasCity, Menzel Temime]
-
A.
Menzel Temime
chosen
Menzel Temime is a coastal town in northeastern Tunisia known for its agricultural production and proximity to Mediterranean beaches on the Cap Bon Peninsula.
-
B.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
C.
Emine
Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
-
D.
Malhun Hatun
Malhun Hatun was a prominent figure in early Ottoman history, traditionally regarded as one of the wives of Osman I and the mother of his successor, Orhan.
-
E.
Zaimoglu
Zaimoglu is the surname of Feridun Zaimoglu, a prominent German-Turkish author and artist known for his works on migration, identity, and multiculturalism.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a5d0de881909baacc5b991f5b53 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfac317248190a8886d59d2242acb |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:13 p.m.