Triple
T17845512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garges-lès-Gonesse |
E445648
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Khouribga |
—
|
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: Khouribga | Statement: [Garges-lès-Gonesse, hasTwinTown, Khouribga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khouribga Context triple: [Garges-lès-Gonesse, hasTwinTown, Khouribga]
-
A.
Khouribga
chosen
Khouribga is a Moroccan city renowned as one of the world’s major centers of phosphate mining and production.
-
B.
M'Ress
M'Ress is a feline-like Caitian Starfleet communications officer who appears as a recurring character in Star Trek: The Animated Series.
-
C.
Aïn Laloui
Aïn Laloui is a town and commune located in northern Algeria’s Bouira Province.
-
D.
Sidi Thabet
Sidi Thabet is a town in northern Tunisia known for its agricultural activities and proximity to the capital, Tunis.
-
E.
Sidi Belyout
Sidi Belyout is a central urban district of Casablanca, Morocco, known for encompassing much of the city’s historic and administrative core.
- 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.