Triple
T31399185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شيمكنت |
E800945
|
entity |
| Predicate | isLargestCityRankInKazakhstan |
P171823
|
FINISHED |
| Object | الثالثة |
—
|
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: الثالثة | Statement: [شيمكنت, isLargestCityRankInKazakhstan, الثالثة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestCityRankInKazakhstan Context triple: [شيمكنت, isLargestCityRankInKazakhstan, الثالثة]
-
A.
rankByAreaInKazakhstan
Indicates the relative ordering of entities based on the size of their area within the geographic boundaries of Kazakhstan.
-
B.
denotesCountryWithLargestCity
Indicates that the subject is a country whose largest city (by population or area) is the specified object.
-
C.
isLargestCityRankInAustria
Indicates that a city holds a specific rank in terms of population size among all cities in Austria.
-
D.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
E.
areLargestCitiesOf
Indicates that the subject entities are the largest cities within the regions or countries specified by the object entities.
- F. None of above. chosen
Provenance (4 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 29, 2026, 9:19 p.m.