Triple
T14625034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitwe |
E343321
|
entity |
| Predicate | populationRankInZambia |
P1169
|
FINISHED |
| Object | among top three |
—
|
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: among top three | Statement: [Kitwe, populationRankInZambia, among top three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInZambia Context triple: [Kitwe, populationRankInZambia, among top three]
-
A.
statusInZambia
Indicates the legal, social, or official standing or condition that something or someone has within the context of Zambia.
-
B.
rankingByHeightInZimbabwe
Indicates an ordering of entities based on their height specifically within the context or population of Zimbabwe.
-
C.
countryStatusInZimbabwe
Indicates the legal or diplomatic status that an entity holds within or in relation to Zimbabwe.
-
D.
populationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
- 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.