Triple
T22686705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدينة العتيقة بسوسة |
E560936
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | سوسة |
—
|
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: سوسة | Statement: [المدينة العتيقة بسوسة, locatedIn, سوسة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: سوسة Context triple: [المدينة العتيقة بسوسة, locatedIn, سوسة]
-
A.
سوسة
chosen
سوسة هي مدينة ساحلية تونسية تاريخية على البحر الأبيض المتوسط تشتهر بمدينتها العتيقة المصنفة ضمن مواقع التراث العالمي.
-
B.
Tanta
Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
-
C.
Tanta
Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
-
D.
Souk El Trouk
Souk El Trouk is a traditional market within the historic medina of Tunis, known for its specialized shops and vibrant commercial activity reflecting Ottoman-era influences.
-
E.
Ghadamisi
Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178649aac8190a9d41f5d82895bdf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:13 p.m.