Triple
T7134086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouira Province |
E166260
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Hadjera Zerga
Hadjera Zerga is a town and commune located in Bouira Province in northern Algeria.
|
E643392
|
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: Hadjera Zerga | Statement: [Bouira Province, hasSettlement, Hadjera Zerga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadjera Zerga Context triple: [Bouira Province, hasSettlement, Hadjera Zerga]
-
A.
Tourbet El Bey
Tourbet El Bey is a historic mausoleum complex in the Medina of Tunis that houses the tombs of several rulers and members of the Husainid dynasty.
-
B.
Lakhdar
Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
-
C.
Moor Zogoiby
Moor Zogoiby is a central character in Salman Rushdie’s novel "The Moor’s Last Sigh," a deformed, fast-talking Bombay-born narrator whose life and family saga reflect the tumultuous history and cultural hybridity of modern India.
-
D.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
E.
Beni Ensar
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
- 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: Hadjera Zerga Triple: [Bouira Province, hasSettlement, Hadjera Zerga]
Generated description
Hadjera Zerga is a town and commune located in Bouira Province in northern Algeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hadjera Zerga Target entity description: Hadjera Zerga is a town and commune located in Bouira Province in northern Algeria.
-
A.
Tourbet El Bey
Tourbet El Bey is a historic mausoleum complex in the Medina of Tunis that houses the tombs of several rulers and members of the Husainid dynasty.
-
B.
Lakhdar
Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
-
C.
Moor Zogoiby
Moor Zogoiby is a central character in Salman Rushdie’s novel "The Moor’s Last Sigh," a deformed, fast-talking Bombay-born narrator whose life and family saga reflect the tumultuous history and cultural hybridity of modern India.
-
D.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
E.
Beni Ensar
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e68f15bc8190a4d82b8ee388f497 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a344fb4881908f6b6e33706e0192 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a3f2b51c81909f058149e9bd9f0a |
completed | March 28, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4a9e91881909df07f1c540f191e |
completed | March 28, 2026, 9:51 a.m. |
Created at: March 27, 2026, 2:45 p.m.