Triple
T7060762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béjaïa Province |
E164209
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tazmalt
Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa Province.
|
E642269
|
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: Tazmalt | Statement: [Béjaïa Province, contains, Tazmalt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tazmalt Context triple: [Béjaïa Province, contains, Tazmalt]
-
A.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
B.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
-
C.
Tezonco
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
-
D.
Hualaihué
Hualaihué is a coastal municipality in southern Chile known for its fjords, islands, and location within the Los Lagos Region’s Palena Province.
-
E.
Guamote
Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
- 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: Tazmalt Triple: [Béjaïa Province, contains, Tazmalt]
Generated description
Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tazmalt Target entity description: Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa Province.
-
A.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
B.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
-
C.
Tezonco
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
-
D.
Hualaihué
Hualaihué is a coastal municipality in southern Chile known for its fjords, islands, and location within the Los Lagos Region’s Palena Province.
-
E.
Guamote
Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e459de348190912cd5326fb8bee0 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c880dc08190813bd9bac580530a |
completed | March 28, 2026, 9:16 a.m. |
| NEDg | Description generation | batch_69c79d72dd70819084a4bf7e72865ed9 |
completed | March 28, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79e12a40c8190b21128e17c3e212e |
completed | March 28, 2026, 9:23 a.m. |
Created at: March 27, 2026, 2:38 p.m.