Triple
T14820598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Province |
E348439
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Kalomo |
E885890
|
NE FINISHED |
How this triple was built (2 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: Kalomo | Statement: [Southern Province, hasMajorTown, Kalomo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalomo Context triple: [Southern Province, hasMajorTown, Kalomo]
-
A.
Kalomo
chosen
Kalomo is a town in southern Zambia that serves as an important local commercial and administrative center for the surrounding agricultural region.
-
B.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
-
C.
Comala
Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
-
D.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
E.
Khuallam
Khuallam is a vibrant traditional group dance of the Mizo people, typically performed during festivals and social gatherings to celebrate unity and cultural identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389bc06c8190a8269c07677d9c35 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:50 a.m.