Triple
T35431575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Izmir |
E1024072
|
entity |
| Predicate | isThirdLargestCityByPopulationIn |
P14441
|
FINISHED |
| Object | Turkey |
—
|
NE NERFINISHED |
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: Turkey | Statement: [City of Izmir, isThirdLargestCityByPopulationIn, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isThirdLargestCityByPopulationIn Context triple: [City of Izmir, isThirdLargestCityByPopulationIn, Turkey]
-
A.
isThirdLargestCityIn
chosen
Indicates that a city is the third largest (typically by population or area) within a specified region or country.
-
B.
isFourthLargestCityIn
Indicates that a city is the fourth most populous or significant city within a specified larger region or country.
-
C.
isSixthLargestCityIn
Indicates that a city is the sixth largest city within the specified region or country, typically by population.
-
D.
isNinthLargestCityIn
Indicates that a city is the ninth largest city within a specified geographic or political region.
-
E.
isSecondMostPopulousCityIn
Indicates that a city is the second most populous city within a specified larger region or country.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f795b7148081908a26ea525831db40 |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.