Triple
T17194124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korba |
E417301
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Hammamet |
—
|
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: Hammamet | Statement: [Korba, hasNearbyCity, Hammamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammamet Context triple: [Korba, hasNearbyCity, Hammamet]
-
A.
Hammamet
chosen
Hammamet is a popular Tunisian coastal resort town on the Mediterranean Sea, known for its beaches, tourism, and historic medina.
-
B.
Sousse
Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
-
C.
Houmt Souk
Houmt Souk is the main town of the Tunisian island of Djerba, known for its traditional markets, whitewashed architecture, and historic role as a Mediterranean trading hub.
-
D.
Ben Arous
Ben Arous is a city in northeastern Tunisia that serves as an important suburban and industrial center just south of the capital, Tunis.
-
E.
Sidi Bou Said
Sidi Bou Said is a picturesque coastal village in northern Tunisia, famed for its blue-and-white architecture, cliffside views over the Mediterranean, and vibrant artistic heritage.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da93bf88190b60b658087779d36 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 5:38 a.m.