Triple
T8851079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alajeró |
E210638
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Magana
Magana is a locality within the municipality of Alajeró in the Canary Islands, Spain.
|
E763504
|
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: Magana | Statement: [Alajeró, contains, Magana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magana Context triple: [Alajeró, contains, Magana]
-
A.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
-
B.
Magunje
Magunje is a small town located in the Mashonaland West Province of northern Zimbabwe, serving as a local commercial and administrative center for the surrounding rural area.
-
C.
Mutengene
Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
-
D.
Soshangane
Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
-
E.
Manyanga
Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
- 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: Magana Triple: [Alajeró, contains, Magana]
Generated description
Magana is a locality within the municipality of Alajeró in the Canary Islands, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magana Target entity description: Magana is a locality within the municipality of Alajeró in the Canary Islands, Spain.
-
A.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
-
B.
Magunje
Magunje is a small town located in the Mashonaland West Province of northern Zimbabwe, serving as a local commercial and administrative center for the surrounding rural area.
-
C.
Mutengene
Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
-
D.
Soshangane
Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
-
E.
Manyanga
Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2a53044819099aa7bb401cd4ba6 |
completed | April 3, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa3a03b7c819085fa31d853c79392 |
completed | April 3, 2026, 11:25 a.m. |
Created at: March 30, 2026, 6:49 p.m.