Triple
T16452153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chadlia Saïda Farhat |
E399578
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Saïda
Saïda is a feminine given name commonly used in Arabic-speaking and North African cultures.
|
E1220679
|
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: Saïda | Statement: [Chadlia Saïda Farhat, givenName, Saïda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saïda Context triple: [Chadlia Saïda Farhat, givenName, Saïda]
-
A.
Aïn Beïda
Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
-
B.
Berrechid
Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
-
C.
Kenitra
Kenitra is a port city in northwestern Morocco, located on the Sebou River and known as an important industrial and transportation hub near the Atlantic coast.
-
D.
Benslimane
Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
-
E.
Bordj el Kebir
Bordj el Kebir is a historic coastal fortress in Houmt Souk on the island of Djerba, Tunisia, notable for its Ottoman-era military architecture and strategic harbor views.
- 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: Saïda Triple: [Chadlia Saïda Farhat, givenName, Saïda]
Generated description
Saïda is a feminine given name commonly used in Arabic-speaking and North African cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saïda Target entity description: Saïda is a feminine given name commonly used in Arabic-speaking and North African cultures.
-
A.
Aïn Beïda
Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
-
B.
Berrechid
Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
-
C.
Kenitra
Kenitra is a port city in northwestern Morocco, located on the Sebou River and known as an important industrial and transportation hub near the Atlantic coast.
-
D.
Benslimane
Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
-
E.
Bordj el Kebir
Bordj el Kebir is a historic coastal fortress in Houmt Souk on the island of Djerba, Tunisia, notable for its Ottoman-era military architecture and strategic harbor views.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce19344819083d323077b742bc3 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed25bcc819090ccca4705e4e24f |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006f9043b8819086143b2ec0cf1657 |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00701fc1848190b3248a70b462eab1 |
completed | May 10, 2026, 11:46 a.m. |
Created at: April 10, 2026, 5:10 a.m.