Triple
T10274515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fès-Meknès |
E240927
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Taza |
E397678
|
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: Taza | Statement: [Fès-Meknès, hasMajorCity, Taza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taza Context triple: [Fès-Meknès, hasMajorCity, Taza]
-
A.
Taza
chosen
Taza is a historic city in northern Morocco known for its strategic location between the Rif and Middle Atlas mountains and its role as a key passage linking eastern and western Morocco.
-
B.
Kupchino
Kupchino is a residential district in the south of Saint Petersburg, Russia, known for its large Soviet-era housing estates and as a major transport hub.
-
C.
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
-
D.
Tofana
Tofana is a prominent mountain massif in the Dolomites of northern Italy, renowned for its challenging ski slopes and role as a major alpine skiing competition venue.
-
E.
Waso
Waso is a traditional month in the Burmese calendar that typically marks the beginning of the Buddhist Lent and the height of the monsoon season in Myanmar.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28a9c508190824867c04e8dcbe7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f81b39008190af48de31de03682e |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:36 a.m.