Triple
T17845525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garges-lès-Gonesse |
E445648
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Tozeur |
—
|
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: Tozeur | Statement: [Garges-lès-Gonesse, hasTwinTown, Tozeur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tozeur Context triple: [Garges-lès-Gonesse, hasTwinTown, Tozeur]
-
A.
M'Ress
M'Ress is a feline-like Caitian Starfleet communications officer who appears as a recurring character in Star Trek: The Animated Series.
-
B.
Tahannaout
Tahannaout is a small town in central Morocco that serves as an administrative and market hub for the surrounding rural communities in the foothills of the High Atlas Mountains.
-
C.
Ghadamis
Ghadamis is an ancient oasis town in western Libya, renowned for its well-preserved traditional mud-brick architecture and status as a UNESCO World Heritage Site.
-
D.
Khouribga
Khouribga is a Moroccan city renowned as one of the world’s major centers of phosphate mining and production.
-
E.
Sidi Thabet
chosen
Sidi Thabet is a town in northern Tunisia known for its agricultural activities and proximity to the capital, Tunis.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffa4c648190a88a4b0733493d91 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.