Triple
T12483241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammamet |
E298365
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Yasmine City
Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
|
E993517
|
NE FINISHED |
How this triple was built (4 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: Yasmine City | Statement: [Hammamet, nickname, Yasmine City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasmine City Context triple: [Hammamet, nickname, Yasmine City]
-
A.
El Salam City
El Salam City is a residential and industrial suburb located on the northeastern outskirts of Greater Cairo in Egypt.
-
B.
Badr City
Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
-
C.
Cité El Khadra
Cité El Khadra is a residential and administrative neighborhood in the city of Tunis, Tunisia.
-
D.
Umm al-Hasan
Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
-
E.
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yasmine City Triple: [Hammamet, nickname, Yasmine City]
Generated description
Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yasmine City Target entity description: Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
-
A.
El Salam City
El Salam City is a residential and industrial suburb located on the northeastern outskirts of Greater Cairo in Egypt.
-
B.
Badr City
Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
-
C.
Cité El Khadra
Cité El Khadra is a residential and administrative neighborhood in the city of Tunis, Tunisia.
-
D.
Umm al-Hasan
Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
-
E.
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
- F. None of above. chosen
Provenance (5 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea9024081908c800f6a5afc149e |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fadc97081908376913e390cfc3d |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f660c3d914819097b57784889ca389 |
completed | May 2, 2026, 8:38 p.m. |
Created at: April 8, 2026, 9:56 p.m.