Triple
T14625030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitwe |
E343321
|
entity |
| Predicate | isCopperbeltTown |
P98896
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Kitwe, isCopperbeltTown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCopperbeltTown Context triple: [Kitwe, isCopperbeltTown, true]
-
A.
isMiningTown
chosen
Indicates that a location is a town whose primary historical or economic basis is mining activities.
-
B.
containsMetropolitanMunicipality
Indicates that a given region or administrative area includes one or more metropolitan municipalities within its boundaries.
-
C.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
D.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
-
E.
containsMiningTown
Indicates that a location or area includes within its boundaries a town whose primary activity or identity is based on mining.
- F. None of above.
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.