Triple
T10352149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Cerdan |
E243905
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Sidi Bel Abbès
Sidi Bel Abbès is a city in northwestern Algeria known as a regional economic and cultural center.
|
E882350
|
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: Sidi Bel Abbès | Statement: [Marcel Cerdan, placeOfBirth, Sidi Bel Abbès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidi Bel Abbès Context triple: [Marcel Cerdan, placeOfBirth, Sidi Bel Abbès]
-
A.
Sidi Bennour
Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet production.
-
B.
Sidi Bou Zid
Sidi Bou Zid is a town in central Tunisia known both as an agricultural center and as the site of a significant World War II battle.
-
C.
Aïn Abid
Aïn Abid is a town and commune in northeastern Algeria, situated within the Constantine Province.
-
D.
Cherchell
Cherchell is a historic coastal town in northern Algeria, known for its ancient Phoenician and Roman heritage and its role as a cultural center in the region.
-
E.
Aïn Bessem
Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie region.
- 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: Sidi Bel Abbès Triple: [Marcel Cerdan, placeOfBirth, Sidi Bel Abbès]
Generated description
Sidi Bel Abbès is a city in northwestern Algeria known as a regional economic and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sidi Bel Abbès Target entity description: Sidi Bel Abbès is a city in northwestern Algeria known as a regional economic and cultural center.
-
A.
Sidi Bennour
Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet production.
-
B.
Sidi Bou Zid
Sidi Bou Zid is a town in central Tunisia known both as an agricultural center and as the site of a significant World War II battle.
-
C.
Aïn Abid
Aïn Abid is a town and commune in northeastern Algeria, situated within the Constantine Province.
-
D.
Cherchell
Cherchell is a historic coastal town in northern Algeria, known for its ancient Phoenician and Roman heritage and its role as a cultural center in the region.
-
E.
Aïn Bessem
Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie region.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd93b506c8190bbff63903770355a |
completed | April 12, 2026, 5:41 p.m. |
| NEDg | Description generation | batch_69dcad07b51081908fd66ee9ff7341f6 |
completed | April 13, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dd4386e3308190bb8503ce75fa628f |
completed | April 13, 2026, 7:27 p.m. |
Created at: April 6, 2026, 11:57 a.m.