Triple
T6483423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nîmes |
E146449
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Meknes |
E47150
|
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: Meknes | Statement: [Nîmes, twinCity, Meknes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meknes Context triple: [Nîmes, twinCity, Meknes]
-
A.
Meknes
chosen
Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
-
B.
Fès-Meknès
Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
-
C.
Oujda
Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
-
D.
Sefrou
Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
-
E.
Beni Mellal-Khénifra
Beni Mellal-Khénifra is an administrative region in central Morocco known for its agricultural production, mountainous landscapes, and the city of Beni Mellal as a major urban center.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6cd0c4819085a921e6a361d91c |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb0988a081909f83af0a9da1b1f1 |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 22, 2026, 4:52 p.m.